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Your ResponsibilitiesDevelop the model serving platform, encompassing API, Control Plane, Billing, Monitoring, and distributed inference functionalities. Partner with ML researchers to integrate new multimodal models into existing production workflows. Write robust, maintainable code while adhering to strong testing and documentation practices. Deliver operational support to maintain high performance, availability, and reliability of production services. Assist in troubleshooting intricate issues across runtime, service, and GPU layers, collaborating closely with fellow engineers. Ideal Candidate ProfileBachelor's degree in Computer Science, Engineering, or a related technical discipline (or equivalent practical experience). A minimum of 3 years of software engineering experience, specifically in infrastructure or machine learning systems. Proficiency in programming languages such as C++, Python, Go, or Rust. Familiarity with Kubernetes and containerization techniques. Experience in building large-scale ML/MLOps infrastructure. Strong communication and collaboration skills, capable of working effectively across engineering and ML teams. Willingness to work from the office, contributing to a fast-paced and high-ownership team culture.
About the job
At Sciforium, we are at the forefront of AI infrastructure, dedicated to the development of advanced multimodal AI models and an innovative serving platform that emphasizes high efficiency. With substantial funding and direct collaboration from AMD, our team is rapidly expanding to create the complete stack for pioneering AI models and dynamic real-time applications.
Role Overview
This position provides a distinct opportunity to engage with the fundamental systems that drive Sciforium's multimodal AI models. You will play a crucial role in constructing the model serving platform, working with C++, Python, runtime execution, and distributed infrastructure to design a swift, dependable engine for real-time AI applications.
You will acquire practical experience in performance engineering, discover how large AI models are optimized and deployed at scale, and collaborate closely with ML researchers and seasoned systems engineers. If you thrive in low-level programming and are passionate about performance, this role offers both impactful contributions and significant growth opportunities.
About Sciforium
Sciforium is revolutionizing AI infrastructure with cutting-edge multimodal AI models and a proprietary high-efficiency serving platform, supported by significant funding and partnership with AMD.
About the RoleJoin our pioneering team at vooma as a Backend & Infrastructure Software Engineer, where you will play a critical role in shaping the technical infrastructure of a transformative company.If you are passionate about creating not only resilient systems but also the foundational architecture of a groundbreaking enterprise from the outset, this position is ideal for you.We are looking for someone who excels at crafting infrastructure that is elegant, dependable, and secure, even under high-demand scenarios. You thrive on the challenge of scaling systems that enable intelligent agents and take pride in establishing reliable foundations that others can rely on.Your Key Responsibilities Include:Design and maintain secure, scalable infrastructure tailored for AI-powered agents in production environments.Deploy and optimize AI-driven services to meet high availability and performance standards.Manage infrastructure as code, alongside cloud environments and CI/CD pipelines.Implement monitoring, observability, and alerting systems to ensure the reliability of our infrastructure.Contribute to infrastructure security and adhere to best practices.You Should Have:Experience in deploying and productionizing machine learning or AI-centric workloads.Proficiency in developing secure, scalable infrastructures on platforms such as AWS, Azure, or GCP.In-depth knowledge of backend systems, networking, and container orchestration technologies (e.g., Kubernetes).Understanding of infrastructure security principles and compliance standards (e.g., SOC2).A proactive and hands-on mindset, with a strong drive to solve challenges from start to finish.
About SesameAt Sesame, we envision a world where computers can interact with us in authentic, lifelike ways—seeing, hearing, and collaborating as humans do. Our mission is to create an innovative computer interface that seamlessly integrates voice agents into everyday life. Our diverse team comprises founders from Oculus and Ubiquity6 and seasoned professionals from Meta, Google, and Apple, each bringing extensive expertise in hardware and software. Join us in pioneering a future where technology feels alive.About the RoleAs a Backend Infrastructure Engineer at Sesame, you will play a pivotal role in shaping the foundational aspects of our technology stack. This position focuses on developing high-impact infrastructure, services, and tools that are broad-reaching rather than narrowly defined. You will tackle scalability and architectural challenges across various domains, including agentic workflows, speech recognition and synthesis, IoT, large-scale training, and efficient low-latency inference. If you're driven by the challenge of creating an ultra-efficient, scalable, and reliable engineering ecosystem through a blend of tooling, services, libraries, and infrastructure, this is the perfect opportunity for you.Responsibilities:Design and develop foundational infrastructure to support serving, training, and applications at Sesame.Enhance productivity for engineering teams by automating processes and creating exceptional tools.Deliver software solutions that empower product and machine learning engineers to build secure, scalable, and dependable systems from the ground up.Your responsibilities will encompass provider, service, security, and developer infrastructure, as well as the architecture and implementation of core services and libraries.
Full-time|$148K/yr - $200K/yr|On-site|San Francisco, CA
Biotechnology is transforming our world, influencing everything from the medicines we consume to the crops we cultivate and the materials we utilize daily. To keep pace with the rapid advancements in science, we require cutting-edge technology.At Benchling, our mission is to harness the potential of biotechnology. The most pioneering biotech firms rely on Benchling’s R&D Cloud to facilitate the creation of innovative products and accelerate their journey to milestones and market readiness.Join us in bringing state-of-the-art software solutions to the forefront of modern science.ROLE OVERVIEWWe are seeking a talented Backend Software Engineer to join our Infrastructure Engineering team, where you will build and maintain the foundational platform that powers our product offerings. This role spans various infrastructure disciplines, including cloud infrastructure on AWS, services based on Kubernetes, and the operational tools necessary to ensure system reliability. Collaboration is key as you will work closely with product engineering teams to better understand their requirements and enhance the developer experience throughout Benchling.We are looking for a motivated early-career engineer with strong foundational skills and a desire to grow. The ideal candidate will be enthusiastic about learning, eager to contribute across diverse areas, and ready to take on increasing responsibilities. Given our operation in a regulated environment, your work will focus on building reliable, secure, and auditable systems.RESPONSIBILITIESDevelop, sustain, and enhance core infrastructure and platform services utilized by our product engineering teams.Collaborate with product teams to establish requirements, design efficient pathways, and minimize deployment and operational challenges.Contribute to our Kubernetes-based platform, including service configuration, traffic management, and platform tooling.Design and manage AWS infrastructure and automation, emphasizing scalability, cost efficiency, and resilience.Enhance observability and operational readiness through metrics, logging, tracing, dashboards, and alert systems.Engage in an on-call rotation, manage incident responses, and drive process improvements to avert future occurrences.Produce clear technical documentation and engage in design discussions and reviews; focus on incremental system improvements for maintainability and reliability.
Location: San Francisco, CAType: Full-time, on-siteOverview: As the demand for AI agents surges, we are on a rapid hiring spree to meet this challenge. At AgentMail, we are innovating in a space where the solutions are still being discovered; we focus on creating systems that empower agents as essential components of the internet. If you thrive in building products from the ground up, we want to hear from you.AgentMail is developing an API that provides dedicated inboxes for AI agents, serving as their primary identity and communication hub. This isn't just AI-enhanced email; it's email tailored for AI.We are searching for a foundational engineer with robust backend and infrastructure skills to create the essential tools that agents will utilize for communication, authentication, and real-world operations. This role is perfect for someone who enjoys working with systems: APIs, distributed architecture, reliability, and developer tools.Why Join Us?Exceptional Team: Our team comprises industry experts with backgrounds in quantitative analysis, software engineering, and private equity, featuring talent from companies like Optiver, NVIDIA, Amazon, Modern Treasury, and KKR.Rapid Growth: Our user base has doubled every two weeks since January, and we anticipate this growth to continue. With agents soon surpassing human numbers, we expect significant market changes.Unique Position: We are the exclusive identity provider for AI agents, similar to how Gmail serves human users.Key ResponsibilitiesLead and mentor a team of 4-6 engineers.Design user-friendly APIs and abstractions for humans and AI agents alike.Develop high-performance, low-latency systems with AI agents as the end-users.Engage directly with our core infrastructure, managing the processing of hundreds of thousands of emails daily.Innovate at the intersection of advanced AI capabilities and traditional email systems.Oversee projects from inception through to production deployment.Produce clean, maintainable code along with comprehensive technical documentation.Actively gather and respond to customer feedback to drive improvements and refinements.
Full-time|$125K/yr - $195K/yr|On-site|San Francisco Office
About Atomic SemiAtomic Semi is pioneering the development of a compact and rapid semiconductor fabrication facility.Utilizing current technologies and innovative simplifications, we aim to create our own tools, enabling swift iterations and continuous enhancements.Our team comprises exceptional, hands-on engineers across various disciplines—mechanical, electrical, hardware, computer, and process engineering. We are committed to owning our entire operational stack, from atomic structures to architectural designs. Our optimistic outlook drives us to push the boundaries of technology.We believe that smaller, faster solutions are superior, and that building our own tools is the best path forward.Equipped with advanced 3D printers, an extensive range of microscopes, e-beam writers, and general fabrication tools, we are ready to invent whatever is necessary throughout this journey.Founded by Sam Zeloof and Jim Keller, our vision is backed by Sam’s garage-chip manufacturing experience and Jim’s four decades of leadership in the semiconductor industry.About the RoleAs a Backend Infrastructure Engineer, you will develop the core systems that drive our fabrication products, with a focus on backend architecture, data models, and hardware integrations.
Full-time|$170K/yr - $230K/yr|On-site|San Francisco
Join Kira Learning as a Senior Software Engineer, where you will play a pivotal role in shaping the future of educational technology. Our mission is to leverage cutting-edge AI technologies to make high-quality teaching and learning accessible to all.In this role, you will take ownership of essential backend systems and infrastructure that drive key product workflows. This position is perfect for engineers who thrive on developing reliable and scalable services while enhancing infrastructure and developer tools. Although the primary focus is on backend development, the ideal candidate should also be comfortable working across the stack, collaborating closely with product teams to deliver comprehensive features.Kira is a rapidly growing startup, supported by top-tier Venture Capital firms, including New Enterprise Associates (NEA) and Andrew Ng’s AI Fund.This is a full-time position that requires flexibility with work hours and availability outside of standard business hours. We have offices located in San Francisco, CA, and New York City, NY, and we expect employees to work in-person at one of these locations four days a week.
Full-time|On-site|San Francisco, California, United States
Rockstar is on the hunt for a talented Backend Software Engineer to join a rapidly expanding startup that is pioneering the AI infrastructure for the next generation of smart products. This innovative company specializes in providing AI startups with the tools to design, fine-tune, evaluate, deploy, and maintain their specialized models across various domains like text, vision, and embeddings. Think of them as the 'AWS for AI models'—offering a comprehensive backend solution for fine-tuning, reinforcement learning, inference, and ongoing model maintenance. Their clientele includes Series A to C AI companies that are developing enterprise-grade products, with a simple promise: to enhance your AI systems.As a Backend Software Engineer focusing on ML Infrastructure, you will play a pivotal role in designing, building, and scaling the essential systems that facilitate extensive model training and deployment.Your responsibilities will include developing distributed training pipelines, establishing cloud-native infrastructure, and creating internal developer platforms that support fine-tuning, reinforcement learning, and inference at scale. This position uniquely combines backend engineering with machine learning systems, allowing you to work closely with ML engineers while taking ownership of production-grade infrastructure.This role is a fantastic opportunity for an early-career engineer eager to dive into real distributed systems, GPU workloads, and cutting-edge ML infrastructure—far removed from simple dashboards or CRUD applications.
About GigaGiga has recently secured $61 million in Series A funding and is already collaborating with prominent clients, including DoorDash. We are on a mission to revolutionize customer experience by developing advanced AI agents capable of understanding emotions, resolving issues instantaneously, and scaling solutions across the globe's largest enterprises.This pivotal moment in our journey reflects our ambition to establish ourselves as the leading AI platform for enterprise automation, driven by our cutting-edge voice superintelligence. To realize this vision, we are seeking exceptional engineers to join our team.Our work impacts millions of lives daily, providing engineers with the autonomy to make a genuine difference. This role offers a unique chance to be part of a talented founding team, achieve commercial success, and contribute to a company with the potential to become a generational leader.For more insights into Giga, check out:Voice AI startup Giga raises $61M Series ADoorDash and Giga PartnershipJoin us and help build AI agents that are trusted by the world’s leading B2C companies, including DoorDash, as they navigate complex support and operational workflows across voice, chat, and email channels.The RoleWe are in search of a skilled infrastructure engineer to develop the foundational platform that powers our AI agents. Your primary users will be fellow engineers; your mission will be to design systems, tools, and abstractions that enhance productivity and ensure the reliability of our platform.This position goes beyond traditional DevOps or SRE roles. You will be writing application code with a specific focus on foundational layers such as deployment systems, observability, data infrastructure, and the internal tools that enable swift, efficient operations without compromising stability.What You'll Work OnHere are a few key projects you will be involved with:Controlled deployments: Implementing staged rollout systems with traffic scaling, scheduling, and pass rate thresholds to protect production environments.Observability: Developing instrumentation, logging, and monitoring frameworks that provide insights into production performance.Data infrastructure: Creating robust data pipelines and storage solutions to support our operations.
Join Sphere, where we leverage AI technology to redefine international trade law.At Sphere, we empower companies like Lovable, Eleven Labs, Replit, and Runway AI to seamlessly automate their sales tax, VAT, and GST compliance:Experience rapid growth with us (30%+ month-over-month revenue increase) as we collaborate with some of the fastest-growing tech companies globally.After two years of dedicated effort, we have integrated local compliance solutions into over 100 tax authorities worldwide, a feat unmatched by any other vendor.We are developing the first AI-native tax engine, forming the backbone of a comprehensive cross-border compliance platform.Our funding partners include industry leaders such as a16z, Y Combinator, 20vc, and Felicis Ventures.As we scale to accommodate millions of global transactions, building a robust infrastructure for transaction synchronization and real-time tax calculations is crucial.This role focuses on ensuring availability, resilience, and speed within mission-critical billing flows for leading companies.Why This Role is a Major Opportunity: Enormous Total Addressable Market: Every business requires compliance solutions. Favorable Market Trends: As businesses expand globally, the urgency for compliance solutions increases. AI-Driven Advantages: Our AI-native tax engine allows us to scale beyond traditional limitations. Multi-Product Expansion: Indirect tax is just our starting point; we are building a comprehensive solution for all revenue-based compliance needs.Your Responsibilities:In the initial weeks:Identify innovative solutions to enhance Sphere's infrastructure...
Why Join Doppel?At Doppel, we are dedicated to tackling one of the most significant threats posed by AI: mass-manufactured social engineering. With scams, deepfakes, and social engineering attacks proliferating across digital platforms such as websites, social media, advertisements, encrypted messaging apps, and mobile devices, our mission is both simple and ambitious: to enhance internet safety by outsmarting the fastest-evolving digital threats.Supported by renowned investors like a16z and Bessemer, and trusted by industry leaders such as OpenAI, United Airlines, and Coinbase, Doppel is on a rapid growth trajectory. If you are passionate about addressing real-world challenges through innovative technology, we want to hear from you!What We're BuildingWe are developing an AI-driven platform to combat social engineering on a large scale. This involves creating scalable systems that monitor billions of domains, social media accounts, applications, and dark web forums, utilizing AI agents to detect and neutralize digital threats effectively.What We're Looking ForWe are in search of a skilled backend engineer to enhance the infrastructure needed for our rapidly expanding engineering team. Recent projects include:Developed a self-hosted Elasticsearch infrastructure on Kubernetes, facilitating real-time search capabilities across millions of alerts and associated metadata.Established core infrastructure using Terraform (Infrastructure as Code), enabling reproducible, version-controlled environments and expediting onboarding for new engineers.Implemented a dedicated staging environment, which enhances safety during releases, feature validation, and automated integration testing prior to production deployments.Introduced observability and tracing mechanisms (metrics, logging, distributed tracing), significantly improving our capacity to debug performance issues and sustain reliability at scale.What We Offer A mission-driven culture emphasizing low ego, high accountability, deep customer focus, and exceptional talent density. Complimentary lunch and dinner in the office. Flexible Paid Time Off (PTO). Quarterly team offsites.
Join us in building the data backbone for real-world robotic operations.The field of robotics is evolving from theoretical research into practical applications within factories, warehouses, transport systems, and various on-site deployments. When robots encounter failures or unexpected behaviors, engineers depend on data to diagnose issues and enhance systems.At Foxglove, we create observability, visualization, and data infrastructure that empowers robotics and autonomous systems teams to efficiently ingest, store, query, replay, and analyze extensive multimodal sensor data from active systems and operational fleets.About the RoleWe are seeking a highly skilled and adaptable Forward-Deployed Backend Engineer to join our dynamic team. This role is tailored for a product-focused engineer who excels in customer-facing roles and is passionate about tackling complex challenges in robotics and observability.As a Forward-Deployed Engineer, you will collaborate directly with key customers to integrate and enhance Foxglove's platform within their environments, while also contributing to our core product development. This position combines hands-on coding, innovative problem-solving, and close partnership with customer teams. You will serve as a reliable engineering partner, ensuring that Foxglove is intricately integrated into customer workflows and identifying opportunities for enhancements based on real-world applications.Key ResponsibilitiesCustomer Engagement – Collaborate closely with customer teams to comprehend their business objectives, domain constraints, and technical needs.Solution Design & Development – Architect and develop comprehensive solutions using an experiment-driven, iterative methodology (TypeScript/React, Node.js, Python, ROS, SQL).Project Scoping & Planning – Create clear scopes of work, timelines, and success metrics for projects ranging from proofs-of-concept to full-scale roll-outs.Hands-On Implementation – Collaborate directly with customer engineers, deploying solutions on their cloud or on-premises environments to guarantee successful adoption.Cross-Functional Collaboration – Work closely with Sales and Customer Success teams on shared accounts to ensure seamless customer experiences and measurable results.Feedback Integration – Communicate insights from the field to Research, Product, and Engineering teams; your feedback will influence our development roadmap.
About UsAt XOXO, we are a pioneering research lab dedicated to crafting intelligent interfaces that enhance everyday life. Our stealth team, comprising passionate engineers, designers, and researchers, is committed to solving unique challenges that affect life beyond the workplace.With recent advancements in our infrastructure, architecture, and model layers, we are seeking exceptional builders to create the interface and application layers that will turn our innovative vision into reality.About the RoleWe are looking for a skilled backend engineer to design, develop, and maintain high-quality production-grade backend systems. This position is ideal for a candidate with a strong foundation in cloud infrastructure, distributed systems, observability, and data persistence, where testing and stability are central to your approach.You will be responsible for overseeing backend projects from conception to production launch, ensuring a strong emphasis on performance, reliability, infrastructure efficiency, and security throughout the entire development lifecycle.What You’ll DoDevelop and manage backend services and distributed systems in a production environment using AWS or GCP.Architect data storage and retrieval systems utilizing a balanced combination of vector, OLAP, SQL, NoSQL, caching, and search technologies.Establish and maintain observability through monitoring, logging, tracing, and alerting to ensure system health and performance.Create and execute comprehensive test frameworks that address deployment and runtime failure scenarios.Lead backend projects from start to finish, focusing on complex feature development, CI/CD, Terraform implementation, stability, and security.
ABOUT US:Skip is dedicated to enhancing joy through advanced movement solutions.Our mission is to empower individuals by restoring mobility, as movement is essential for physical, mental, and social well-being. Yet, over 2 billion people face mobility challenges due to age, injury, or disability. We are committed to creating innovative products that will enable joyful movement experiences for everyone, ensuring that no one is left behind.Founded in 2023 as a spin-off from Google X, Skip is a dynamic 22-person startup positioned to revolutionize the market with our flagship wearable robotic device, the MO/GO. Through strategic partnerships, such as with Arc’teryx, we are set to launch a new era of Movewear products that will transform lives globally.THE ROLE:We are seeking a proactive Senior Backend Engineer to navigate the challenges of developing cutting-edge wearable robotics for everyday use. As a vital member of our software team, you will take charge of backend development and cloud infrastructure, contributing to the establishment of a groundbreaking consumer robotics platform.In this flat organizational structure, you will also play a crucial role in mentoring junior team members as we scale our operations.Key responsibilities include:Develop and oversee backend systems with an emphasis on containerized services and cloud storage solutions to support the deployment of 5,000 MO/GOs over the next two years.Automate infrastructure management using tools such as Terraform, enhancing deployment efficiency and scalability.Facilitate safe and sustainable scaling, transitioning from a single cloud project to separate Development and Production environments in GCP, while maintaining system safety and data integrity.Design and refine data storage and retrieval processes, optimizing storage solutions and data ingestion pipelines to accommodate increasing data demands.Streamline CI/CD workflows currently hosted on GitHub, optimizing cost-efficiency through improved test run segmentation and potential hosting on GCP virtual machines.
At datacurve, we are revolutionizing the developer landscape with a gamified platform that empowers thousands of programmers to engage in thrilling software engineering challenges. Join us as we push the boundaries of large language models (LLMs)!As a Backend Engineer, you will be an integral part of a dynamic and passionate team, tackling complex technical challenges, crafting immersive gamification experiences, and laying the groundwork for a global community of developers.Key ResponsibilitiesFacilitate technical discussions, steer architectural choices, and pinpoint areas for backend system enhancement.Design and implement robust infrastructure capable of efficiently managing high volumes of user interactions, data processing, and real-time competition data.Collaborate closely with frontend engineers and product managers to ensure seamless user experiences.Enhance backend performance, reliability, and scalability to accommodate rapid growth and changing product needs.Establish and promote backend engineering best practices, including code quality, testing, observability, and documentation.QualificationsMinimum of 3 years of experience in designing, building, and maintaining scalable backend systems and APIs.Strong understanding of distributed systems, asynchronous processing, and event-driven architectures.Experience in designing APIs and backend services using Go programming language.Familiarity with cloud infrastructure and services, particularly on AWS.Proficient in Infrastructure as Code (IaaC) tools (e.g., Terraform) and Continuous Integration/Continuous Deployment (CI/CD) pipelines.Expertise in designing relational database schemas, optimizing SQL queries, and managing database performance and integrity.Exceptional collaboration and proactive communication skills.Preferred QualificationsFamiliarity with Kubernetes and orchestrating containerized applications.Knowledge of observability and monitoring tools (e.g., Prometheus, Grafana).Experience in designing and scaling data pipelines to efficiently manage large data volumes.Experience with secure code execution environments and sandboxing techniques.Interest or experience in gamification or developer-centric platforms.
About UsXOXO AI is an innovative research laboratory focused on creating intelligent interfaces for everyday life. Our team is composed of passionate engineers, designers, and researchers dedicated to solving unique challenges that affect our lives beyond the workplace.Having achieved significant advancements in our infrastructure, architecture, and model layers, we are now seeking talented builders to help us develop the interface and application layer that will bring our visionary concepts to fruition.About the RoleWe are in search of a skilled Backend Engineer to design, construct, and maintain high-quality production backend systems. This position is ideal for individuals who possess a strong command of cloud infrastructure, distributed systems, monitoring, and data persistence, with a keen emphasis on testing and stability.You will be responsible for overseeing backend projects from initial concept through to production launch, ensuring performance, reliability, infrastructure efficiency, and security are prioritized throughout the development process.What You’ll DoDevelop and manage backend services and distributed systems in a production environment using AWS or GCP.Design data storage and retrieval solutions utilizing a combination of vector, OLAP, SQL, NoSQL, caching, and search systems.Establish and maintain observability practices including monitoring, logging, tracing, and alerting to ensure system health and performance.Create and implement comprehensive testing frameworks that account for deployment and runtime failure scenarios.Take full ownership of backend projects, focusing on complex feature development, CI/CD, Terraform, stability, and security.
At Sciforium, we are at the forefront of AI infrastructure, dedicated to the development of advanced multimodal AI models and an innovative serving platform that emphasizes high efficiency. With substantial funding and direct collaboration from AMD, our team is rapidly expanding to create the complete stack for pioneering AI models and dynamic real-time applications.Role OverviewThis position provides a distinct opportunity to engage with the fundamental systems that drive Sciforium's multimodal AI models. You will play a crucial role in constructing the model serving platform, working with C++, Python, runtime execution, and distributed infrastructure to design a swift, dependable engine for real-time AI applications.You will acquire practical experience in performance engineering, discover how large AI models are optimized and deployed at scale, and collaborate closely with ML researchers and seasoned systems engineers. If you thrive in low-level programming and are passionate about performance, this role offers both impactful contributions and significant growth opportunities.
Full-time|$175K/yr - $225K/yr|On-site|San Francisco, CA
About LangChainLangChain is dedicated to revolutionizing the landscape of intelligent agents. Our innovative agent engineering platform and open-source frameworks empower developers to efficiently create reliable agents with speed and precision.With over 90 million downloads monthly, our frameworks, LangChain and LangGraph, are instrumental for developers looking to build sophisticated agents. LangSmith enhances this experience by providing observability, evaluation, and deployment capabilities that facilitate rapid iteration, ensuring teams can seamlessly transition LLM systems into dependable production environments.Trusted by millions globally, LangChain supports AI teams at leading organizations such as Replit, Clay, Cloudflare, Harvey, Rippling, Vanta, Workday, and many others.About the RoleThis position requires in-person attendance five days a week in either San Francisco, CA or New York, NY. We are developing specialized infrastructure tailored for the execution of AI agents. Unlike conventional web applications, these agents operate for extended periods, engage asynchronously with both humans and other agents, and must be resilient to failures during execution. The LangSmith Deployments runtime is designed to support these functionalities through durable checkpointing, fault-tolerant orchestration, and horizontal scaling across both cloud and self-hosted environments.We are seeking a Senior Backend Engineer to contribute to this vital system. While the primary focus will be on backend development, a strong understanding of Kubernetes (K8s), Terraform (Tf), and other DevOps tools is highly desirable.Design and implement distributed queue and worker systems to manage concurrent agent execution, background tasks, and multi-agent coordination within horizontally scalable infrastructure.Take ownership of core data infrastructure, including state persistence, atomic job claiming, connection management, and schema evolution.Collaborate on architectural decisions to ensure scalability and robustness of solutions.Develop resumable streaming infrastructure, allowing clients to disconnect and reconnect during execution without loss of state.Monitor and instrument production systems, including tracing, metrics, and alerting to maintain platform health.Participate in on-call rotations and manage incident response for the runtime.Create and maintain technical documentation, encompassing system design and operational runbooks.Contribute to and enhance the open-source LangGraph, utilized by thousands of developers to create agent applications.
About UsWe are an innovative stealth-mode company funded by a16z Speedrun, dedicated to empowering leading consumer brands to achieve exceptional growth. Our cutting-edge solutions have gained the trust of pioneering organizations like Higgsfield and Promova among others. As we expand, we seek talented individuals who are eager to make a significant impact in the realm of consumer technology. You will be part of a passionate team at a crucial juncture, thriving in an environment that champions initiative, ambition, and creative solutions.The RoleAs a Senior Backend Engineer, you will be instrumental in developing and maintaining the essential backend infrastructure that powers our products. Your responsibilities will include:Designing scalable architectures that effectively support new product features and business objectives.Leading the development, deployment, and optimization of backend services to ensure top performance, reliability, and maintainability.Collaborating with cross-functional teams to seamlessly integrate third-party platforms, APIs, and cutting-edge AI technologies.Facilitating technical discussions, providing mentorship, and sharing best practices with fellow team members.Actively contributing to the continuous enhancement of our engineering standards and development workflows.Proactively identifying and addressing complex technical challenges to ensure stable and secure operations.What We ExpectA minimum of 5 years of professional experience in backend development, showcasing a history of delivering reliable and scalable systems.Advanced expertise in server-side programming and experience in designing database-driven applications.A solid understanding of API development, systems integration, and software engineering best practices.Proven experience in building and maintaining production environments that scale effectively for real users.An independent, proactive approach to problem-solving, coupled with the ability to drive projects forward.A commitment to joining our team full-time, with a desire to grow within a fast-paced, ambitious startup.How to ApplyPlease send us a brief introduction about yourself, along with a description of a technical project or system you are most proud of. We are excited to learn how you can contribute to our vision and success.
About the PositionAs a Senior Backend Engineer at Nash, you will be instrumental in the design and development of our backend systems, services, and APIs. Collaborating closely with our CTO, co-founder, and the engineering and product teams, you will help scale our platform, enhance performance, and build a robust infrastructure that facilitates seamless logistics operations. This role presents an exciting opportunity to contribute to Nash as we create innovative products across the logistics value chain for enterprises, marketplaces, and small to medium-sized businesses (SMBs).Key ResponsibilitiesDesign, develop, and maintain high-performance, scalable backend services and APIs.Architect and implement efficient data structures and models.Optimize system performance, scalability, and security.Debug, troubleshoot, and resolve backend issues in production environments.Work closely with frontend engineers to develop seamless API integrations.Implement best practices for observability, monitoring, and logging to ensure system reliability.Collaborate both independently and as part of a team to tackle complex technical challenges.Promote best practices in documentation, testing, and maintainability.Qualifications4+ years of experience in developing and deploying scalable backend systems.Proficient in Python and related backend frameworks.Experience in designing and utilizing RESTful APIs and databases (e.g., PostgreSQL, AWS RDS).Solid understanding of cloud platforms (preferably AWS) and deployment best practices, including managed services (serverless, databases, queues) and CI/CD pipelines.In-depth knowledge of scalable system design and performance optimization.Exceptional problem-solving skills with the ability to work independently in a dynamic environment.Startup experience is advantageous but not mandatory.Preference for candidates located in the Bay Area; Nash operates a hybrid-first product team with an office in San Francisco.Bonus: Familiarity with AsyncIO and event-driven programming.
Full-time|$200K/yr - $350K/yr|On-site|San Francisco, CA
Note: We are excited to facilitate this recruitment for our esteemed client. This position is directly with Arena Intelligence, not People Culture Talent. We look forward to connecting skilled professionals with this remarkable team!The RoleArena Intelligence is redefining the landscape for assessing AI model performance in practical applications. Originating from UC Berkeley’s SkyLab, our platform, Arena.ai, has established itself as the benchmark for AI model evaluation, gaining the trust of researchers, developers, and enterprises that are paving the future of artificial intelligence.Our mission is to create API-driven services tailored for enterprise clients. We aim to deliver premier machine learning products (like Arena Max) that align with their specific business needs.In this pivotal role, you will be responsible for the foundational infrastructure that transforms our research capabilities into enterprise-ready products. This is a unique opportunity to be part of the developer/enterprise team from the ground up. You will collaborate directly with founders and early customers to shape our offerings.What You’ll DoDevelop API-centric products from inception, focusing on creating low-latency, high-reliability APIs for leaderboards, models, and arenas.Tackle complex streaming challenges, including handling SSE/streaming responses from diverse providers, ensuring partial failure recovery, mid-stream fallbacks, and consistent response normalization.Deliver enterprise-grade infrastructure by implementing expected features such as rate limiting, authentication, usage metering, cost attribution, audit logging, and SOC2 compliance.Enhance observability by integrating distributed tracing, latency analysis, token-level usage tracking, and real-time dashboards for comprehensive insights.Develop AI-focused products by integrating with our core evaluation platform, Arena data, and customer-specific benchmarks, while collaborating with the research team to evolve innovative concepts into robust products.Contribute across the tech stack, particularly in backend development for our Leaderboards and Evals platforms, ensuring a cohesive architecture for our public and private data systems.What We’re Looking ForA minimum of 4 years of backend engineering experience, with substantial experience in distributed systems, infrastructure, or developer-centric platforms.Proficiency in Go and familiarity with other programming languages.
Apr 1, 2026
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