Transforming AI Through Self-ImprovementAt Letta, we are pioneering the development of self-improving artificial intelligence systems. Unlike traditional AI, which can be inflexible and limited, our agents are designed to learn continuously from their experiences and adapt accordingly.Founded by the innovators behind MemGPT at UC Berkeley’s Sky Computing Lab—the home of industry-changing technologies like Spark and Ray—Letta is supported by prominent figures in AI infrastructure, including Jeff Dean and Clem Delangue. Our agents are already making a difference in production environments for esteemed companies such as 11x and Bilt Rewards, evolving and enhancing their capabilities daily.We are forming a top-tier team of researchers and engineers to tackle AI's most significant challenge: creating machines that can reason, remember, and learn as humans do.Note: This position requires in-person attendance in our downtown San Francisco office, five days a week.

About Tenable:Tenable® is at the forefront of Exposure Management. With 44,000 organizations worldwide counting on us to mitigate cyber risk, we empower 65% of the Fortune 500, 45% of the Global 2000, and numerous governmental agencies. Join us in redefining the cybersecurity landscape!Why Choose Tenable?When you ask our team about what makes Tenable a fantastic workplace, the answer is simple: our people! Together, we innovate cutting-edge cybersecurity solutions, fostering a culture of inclusion, respect, and excellence. As part of the #OneTenable team, you'll collaborate with some of the industry's most talented professionals while having access to the resources necessary to make a meaningful impact. We strive to deliver exceptional results and celebrate our victories together!Note: Applicants must be authorized to work in the U.S. without sponsorship. We currently cannot sponsor work visas.Location: Must reside in or be willing to relocate to the San Francisco/San Jose area.Your Role:At Tenable, we're not just creating exceptional products; we're cultivating a premier engineering culture dedicated to hiring top talent. We are seeking a Senior Software Engineer to be part of a pioneering initiative within our engineering team. In this role, you will design and implement the Agentic AI Platform, an orchestration layer that empowers autonomous agents to reason, plan, and execute intricate security workflows within our Exposure Management ecosystem.This role is highly hands-on and has a significant impact. You won't merely be utilizing LLMs; you'll be constructing distributed systems, state machines, and tools that transform generative models into reliable, enterprise-grade agents.While this role is primarily remote, occasional in-person meetings may be necessary.Your Opportunity:Construct the Agentic Backbone: Design and implement backend services that facilitate multi-agent workflows, enabling AI agents to break down complex user requests, manage states, and execute tasks across distributed microservices....

About Collective Collective helps solo entrepreneurs run their businesses with less hassle. Our technology and team of advisors make it easier for members to handle incorporation, accounting, bookkeeping, and taxes, all in one place. The goal: give self-employed professionals the same tax advantages as large companies, so they can focus on what matters most to them. Our work has been highlighted in Forbes, Business Insider, Yahoo, Bloomberg, Financial Times, and TechCrunch. Investors backing Collective include General Catalyst, Sound Ventures (Ashton Kutcher and Guy Oseary), QED Investors, and Google's Gradient Ventures. Many have also supported brands like YouTube, Substack, and Lyft. Role Overview: AI Data Engineer Collective is looking for a Senior AI Data Engineer to build an internal data agent platform. The mission: make company data accessible to employees, so anyone can ask questions in plain English and get reliable insights or dashboards in return. This role blends AI systems, data infrastructure, and product engineering. The work goes beyond building a system, it requires attention to data integrity, consistency, and reliability throughout. The team is searching for someone who can set a technical direction, design the data architecture, and help drive adoption of these new tools across the company. What You Will Do Develop Agent Infrastructure Build systems for data retrieval, planning, and execution using real company data Enable multi-step reasoning and analytical workflows Connect the agent platform with internal tools Create an End-to-End Analytics System Develop a natural language interface for the entire data stack Allow employees to run complex analyses without SQL Manage and Enhance the Data Layer Work with product engineering teams to design and improve clean, consistent data models Continuously raise the quality and accessibility of company data Location San Francisco

About UsAt Sierra, we are pioneering a transformative platform designed to empower businesses to cultivate enhanced, more human-centric customer experiences through the power of AI. Headquartered in San Francisco, we proudly maintain a collaborative in-person culture, with expanding offices in Atlanta, New York, London, France, Singapore, and Japan.Our operations are rooted in a set of core values that shape our culture and guide our actions: Trust, Customer Obsession, Craftsmanship, Intensity, and Family. These principles form the bedrock of our endeavors, and we are unwavering in our commitment to embody them in every aspect of our work.Our co-founders, Bret Taylor and Clay Bavor, bring a wealth of experience to Sierra. Bret, who serves as Board Chair of OpenAI, has previously held leadership roles as co-CEO of Salesforce and CTO of Facebook, while Clay boasts an 18-year tenure at Google, where he led innovative projects including Google Lens and Project Starline.Your RoleAs a key member of our dynamic full-stack data team, you will play a pivotal role in enhancing the intelligence of our AI agents with each interaction. You will be instrumental in developing real-time data pipelines, analytics tools, and deep personalization frameworks that convert millions of conversations into actionable business insights. Your responsibilities will encompass:Data Foundations: Design and construct our foundational platform capable of efficiently managing data at scale with minimal latency. This includes developing our real-time eventing infrastructure, streaming and batch ETL pipelines, and an Iceberg-based data lakehouse. You will take ownership of interactive OLAP querying systems, orchestration processes, and experimentation frameworks, ensuring our data remains reliable, rapid, and user-friendly across the organization.Memory & Personalization: Drive the evolution of intelligent experiences by building systems for long-term agent memory, crafting reusable Customer Data Platform (CDP) components, and implementing optimization loops that enable our agents to tailor interactions, significantly enhancing business outcomes.What We’re Looking ForWe are eager to connect with candidates who possess substantial expertise in one or more of the following areas:Platform EngineeringDemonstrated experience in designing and developing scalable data architectures.

Sentry seeks a Senior Software Engineer to strengthen its streaming platform in San Francisco, California. This role centers on building systems that can grow with increasing demand and deliver consistent performance for a broad user base. Key responsibilities Design and implement new features for the streaming platform Work closely with teams across engineering, product, and design to deliver reliable solutions Use software development skills to enhance the user experience Share technical insights and ideas to support ongoing platform improvements Location This position is based onsite in San Francisco, California.

Join Condor Software as a Full-Stack Platform EngineerAt Condor, we are revolutionizing the financial infrastructure that supports clinical development. With billions invested annually in discovering and developing new therapies, we strive to connect clinical operations and finance into a cohesive system. By integrating real-time financial intelligence, we empower R&D and finance leaders with the tools they need to make informed, high-stakes decisions.We are an AI-driven, pharma-native infrastructure provider, scaling industry standards in collaboration with top-tier partners. Our platform facilitates prediction, control, and execution in the most complex R&D environments worldwide.The Importance of Your RoleHaving established ourselves as a trusted partner for enterprise teams, we are now focused on the challenging task of scaling our platform to meet increasing demands. As a rapidly growing company, backed by prominent investors like Felicis and 645 Ventures, this is a unique opportunity to contribute to the foundational infrastructure that will redefine how therapies reach patients.Your ResponsibilitiesAs a Full-Stack Platform Engineer, you will be pivotal in building and scaling the core platform that supports the financial intelligence infrastructure relied upon by leading biopharma companies. This role encompasses critical engineering tasks at the intersection of backend systems, cloud infrastructure, and intelligent automation, with a strong emphasis on reliability and scalability.Your primary focus will be on backend architecture, where you'll design and implement services that drive complex financial and operational workflows. You'll be instrumental in shaping data flow, workflow orchestration, and enabling emerging AI-driven capabilities. This role goes beyond simple integration; you'll be crafting robust primitives that support other teams as our product and customer base expand.Working as a core member of a cross-functional product team, you will closely collaborate with product managers, designers, quality engineers, and data specialists to transition features from concept to production. While backend expertise is crucial, you will also engage across the stack to ensure the platform's capabilities are effectively leveraged.

ABOUT THE ROLE:As an AI Engineer at Varick, you will take charge of designing and optimizing the intelligence layer within our enterprise operations. This involves creating agent systems that efficiently handle thousands of transactions, make classification decisions, and learn from human interactions.This position is suited for engineers with extensive experience in LLMs, agent architectures, and evaluation systems. You have successfully developed agent workflows that operate in production, not merely in demo environments. Your expertise includes prompt engineering, retrieval, tool calling, multi-agent orchestration, and the evaluation frameworks necessary for deploying trustworthy AI systems in enterprise settings.WHAT YOU'LL DO:• Design and implement agent architectures that tackle complex enterprise workflows, focusing on multi-step reasoning, tool calling, and exception handling.• Develop and sustain evaluation systems that ensure agent quality, accuracy, safety, and groundedness.• Create robust prompt systems, retrieval pipelines, and context engineering strategies to ensure reliable agent performance.• Establish feedback loops that empower agents to learn from human corrections and enhance their functionality over time.• Optimize inference costs and latency for production workloads to ensure efficiency.• Define and uphold best practices for agent reliability, observability, and governance.• Stay updated with the latest models, frameworks, and research to ensure impactful deployments into production.WHAT WE'RE LOOKING FOR:• At least 3 years of software engineering experience, with a minimum of 1–2 years dedicated to LLM applications or AI systems in a production environment.• Practical experience in constructing agent workflows featuring tool calling, retrieval, and multi-step reasoning.• A profound understanding of prompt engineering, context engineering, and methods to elicit reliable behavior from LLMs.• Experience in developing evaluation systems to assess AI output quality.• Proficient in Python with a solid foundation in backend engineering principles.• You have delivered AI features to actual users and have navigated challenges such as hallucinations, edge cases, accuracy drops, and cost management.• Must be based in San Francisco.

About AnthropicAt Anthropic, we are dedicated to creating AI systems that are not only reliable and interpretable but also steerable. Our mission is to ensure that AI is both safe and beneficial for our users and society at large. Our quickly growing team comprises passionate researchers, engineers, policy experts, and business leaders who collaborate to construct beneficial AI systems.About the RoleWe are seeking talented software engineers to join our Platform organization, where we create foundational tools that enhance product development across Anthropic. You will take ownership of the infrastructure and systems that teams rely on to deliver products reliably and at scale, whether for internal stakeholders or for hundreds of thousands of external users and companies worldwide.This position is ideal for engineers who excel in tackling complex infrastructure challenges and designing systems that are reliable, scalable, and elegant. You will play a pivotal role in defining the performance quality standards for our company, supporting the next generation of LLM-first products, and transforming the developer experience into a best-in-class model.We have several teams actively hiring, and placements will be made post-interview based on your interests and experience, along with our organizational needs. This flexible approach allows us to align talented engineers with the projects where they can have the most significant impact and potential for growth.Platform Acceleration: Your work will focus on maximizing the productivity of our product engineers. You will design and optimize essential development infrastructure that drives our AI product development, including development environments, observability tools, and CI/CD pipelines. Working closely with product teams, you'll identify and eliminate friction points in their development workflows, thus significantly enhancing productivity across our entire product organization and accelerating our mission.Service Infrastructure: We maintain the core systems that underpin Anthropic's engineering efforts, from service mesh and observability systems to deployment pipelines and shared libraries. Our contributions enable product teams to build and operate reliable services at scale, making us a vital multiplier of effectiveness across the entire company.Multicloud: We create and maintain the infrastructure that allows Anthropic to operate seamlessly across multiple cloud providers, emphasizing cloud-agnostic tools, cross-cloud networking, and multi-region deployments.Authentication & Identity: We construct and uphold the critical infrastructure that supports identity management and authentication across Anthropic's platforms.

At Plaid, we envision a future where people's financial interactions are profoundly enhanced. We are committed to driving this change by creating innovative tools and experiences that empower thousands of developers in building their own products. Plaid supports the financial well-being of millions by facilitating seamless connections between users and their financial accounts with the applications they rely on. Our network integrates with over 12,000 financial institutions across the US, Canada, the UK, and Europe. Established in 2013, Plaid is headquartered in San Francisco, with additional offices in New York, Washington D.C., London, and Amsterdam.The Platform Engineering division at Plaid consists of diverse teams focused on essential infrastructure, data management, storage solutions, privacy, and enhancing developer efficiency. Together, these teams ensure that our technology platform remains scalable, robust, and secure to support our rapid expansion. As a Platform Engineer, you will play a vital role in designing, developing, and maintaining the foundational infrastructure and internal platforms that empower all engineering teams at Plaid to innovate swiftly and securely. You will collaborate cross-functionally with product engineering teams to launch new features and uphold operational excellence throughout each product's lifecycle.

In a world where software is rapidly evolving, artificial intelligence (AI) is at the forefront, transforming how we interact with technology. At Scale AI, we recognize the immense potential of AI to enhance human capabilities, offering personalized support across various aspects of life—from coaching and tutoring to shopping and travel guidance. As enterprises, startups, and governments rush to integrate large language models (LLMs) into their operations, it is crucial to ensure these systems are safe, aligned, and effective. This involves rigorous human evaluation and reinforcement learning through human feedback (RLHF) during all stages of model development.Our innovative products, including the Generative AI Data Engine, SGP, and Donovan, are designed to empower the most advanced LLMs and generative models globally. By leveraging world-class RLHF, human data generation, model evaluation, safety, and alignment, we are shaping the future of human-AI interaction.As a member of our Platform Engineering team, you will play a pivotal role in designing and developing the foundational platforms that support Scale's operations. Your responsibilities will include architecting our core cloud infrastructure, enhancing our data lifecycle, and transforming the software development process for engineers at Scale. You will gain invaluable insights into the AI landscape as it develops within diverse sectors.

Mercor’s platform team is looking for a Software Engineer in San Francisco or New York City. The focus is on building and improving the scalable software systems that support the company’s main products. Key responsibilities Design and develop software systems to help the platform grow and stay reliable Add new features and refine existing ones to strengthen platform functionality Collaborate with engineering, product, and design teams to deliver solutions Location This role is based in San Francisco or New York City.

About Our TeamThe GTM (Go-To-Market) Innovation team is a dynamic and innovative group dedicated to transforming customer engagement through cutting-edge applications of our technology. As a vital internal incubator, we enhance the effectiveness of Sales, Technical Success, Enablement, and Revenue Operations by deploying our technology on a large scale. Our mission is to enrich real-world interactions by reshaping customer conversations, learning from each exchange, and discovering new ways to demonstrate the value of our technology.About the RoleWe are seeking talented backend software engineers with a product-oriented mindset to join our GTM Innovation team. In this role, you will play a crucial part in helping OpenAI engage with the world at scale. You will collaborate closely with go-to-market teams to understand their workflows, identify opportunities for improvement, and develop innovative solutions utilizing OpenAI’s API platform.Your agility in moving from prototype to production will be essential, as your contributions will directly influence how customers interact with our technology in real-world settings. This role is perfect for engineers looking to engage directly with users, take ownership of end-to-end outcomes, and pioneer new categories of enterprise software.Key Responsibilities:Develop impactful applications and tools that drive OpenAI’s go-to-market initiatives.Oversee the entire product lifecycle for GTM: prototype, iterate, deploy, and maintain.Collaborate closely with Sales, Technical Success, and Revenue Operations to identify user needs and create tailored solutions.Utilize OpenAI’s models in innovative ways to address real-world customer and internal workflow challenges.Convert insights gained from user interactions into actionable feedback for our Applied and Research teams to guide product development.Qualifications:A minimum of 4 years of experience as a software/ML/product engineer working on user-facing systems.Experience as a founder or early engineer at a startup who has built a product from the ground up is highly desirable.Proficiency in Python or JavaScript and a strong capability in building full-stack applications.Experience building or prototyping LLM-powered workflows using the OpenAI API (or similar technologies).Demonstrated initiative, quick decision-making, and a profound sense of ownership.A passion for collaborating closely with end users to deliver exceptional solutions.

MidiHealth is seeking a Senior Software Engineer to join the Platform Engineering team. This hybrid role is based in the SF Bay Area and centers on building and enhancing the software that drives MidiHealth’s healthcare technology platform. The work contributes directly to improving patient outcomes through technology. Key responsibilities Design and develop software solutions for the core platform Collaborate with engineering, product, and cross-functional teams to deliver integrated features Support the reliability and scalability of the platform Location This position requires regular on-site work in the SF Bay Area as part of a hybrid schedule.

About AnthropicAt Anthropic, we are dedicated to developing AI systems that are not only safe but also interpretable and steerable. Our mission is to ensure that AI serves the best interests of our users and society at large. Our rapidly growing team comprises passionate researchers, engineers, policy experts, and business leaders, all collaborating to create beneficial AI technologies.About the Role:We are seeking skilled software engineers to join our Platform team. This team is responsible for building the essential foundations that enhance product development across Anthropic. We manage the infrastructure and systems that teams rely on for reliable and scalable deployment to both internal users and hundreds of thousands of external clients worldwide.In this role, you will independently define and scope complex, multi-month projects, fostering cross-organizational alignment in ambiguous problem areas. Your architectural decisions will significantly influence the way Anthropic develops and scales its products. You will collaborate closely with research teams to transform cutting-edge capabilities into market-ready solutions, ensuring a lasting impact on our platforms that serve both internal and external engineering teams.Multiple teams are actively hiring, and team assignments will be determined post-interview based on your skills, interests, and the needs of the organization. This flexible approach helps us align talented engineers with backend product initiatives where they can make the most significant impact and experience growth.Your Responsibilities:Platform Acceleration: You will enhance developer productivity for product engineers at Anthropic. This includes architecting and optimizing critical development infrastructure that fuels our AI product development, encompassing development environments, observability, and CI/CD pipelines. You will work closely with product teams to understand their workflows and eliminate friction points, resulting in a profound multiplier effect across the product organization, thus accelerating our mission.Service Infrastructure: You will build and maintain the core infrastructure that supports Anthropic's engineering efforts, ranging from service mesh and observability systems to deployment pipelines and shared libraries. Your contributions will empower product teams to construct and operate reliable services at scale, positioning you as a critical force multiplier within the company.Multicloud: You will develop and sustain the infrastructure that allows Anthropic to function seamlessly across various cloud providers, focusing on cloud-agnostic solutions that enhance our operational efficiency.

Join the Team at Bretton AIBretton AI stands at the forefront of artificial intelligence in the financial services sector, providing an essential platform that organizations like Robinhood, Mercury, and Gusto rely on to streamline critical tasks, including anti-money laundering and counter-terrorism efforts.With over $95 million raised from renowned investors such as Greylock, Y Combinator, and Thomson Reuters Ventures, we are located in the heart of San Francisco. Our talented team hails from prestigious companies including SpaceX, Google, Netflix, Stripe, and Plaid.Your RoleAs a Platform Engineer, you will be instrumental in constructing and maintaining the infrastructure that underpins our compliance solutions at scale. You will take charge of reliability, performance, and scalability across our core platforms.Your responsibilities will include designing Postgres schemas, optimizing queries, developing high-throughput services, orchestrating long-running workflows with Temporal, and ensuring we maintain a commitment to a remarkable 99.9%+ uptime for our clients who process thousands of cases daily.In this role, you'll produce backend code for production, design distributed systems, and manage the infrastructure that allows our product teams to deploy rapidly and efficiently.Key ResponsibilitiesDevelop APIs and services capable of managing thousands of concurrent requests.Create ingestion → assessment → delivery pipelines for our case management.Implement Temporal workflows to manage long-running, stateful processes.Design and refine PostgreSQL schemas and queries for compliance workflows.Oversee CI/CD, deployments, and infrastructure-as-code while enhancing observability through logging, tracing, and metrics.Troubleshoot slow queries, memory leaks, and race conditions in our production systems.What We're SeekingEssential Qualifications4+ years for Engineer / 6+ years for Sr. Engineer / 8+ years for Staff Engineer in backend or infrastructure roles.Strong understanding of systems fundamentals, including distributed systems, databases, APIs, and concurrency.Demonstrated production experience with live systems, including debugging, incident response, and participation in on-call rotations.

Dagster Labs develops tools that enable organizations to build scalable and efficient data platforms. The company’s core offerings include Dagster, an open-source project popular among developers, and Dagster+, a managed cloud solution. These products support thousands of teams, ranging from early-stage startups to established enterprises, in their analytics, machine learning, and AI initiatives. With the rapid growth of AI, the need for reliable, high-quality data has never been greater. Dagster Labs is dedicated to simplifying the testing, comprehension, and usability of data platforms. Many top AI companies have adopted Dagster as a foundational part of their technology stack. Team culture The team operates with strong funding and a collaborative spirit. High standards, open communication, and a focus on trust and curiosity shape the work environment. The company values a workplace free from egos and unnecessary drama. Locations This is a remote-first company with offices in San Francisco, New York, and Minneapolis.

Aura is seeking a talented and experienced Senior Software Engineer, Platform to join our innovative team. In this role, you will be responsible for designing and implementing scalable software solutions that enhance our platform capabilities. You will work closely with cross-functional teams to ensure the delivery of high-quality software that meets the needs of our users.

At Forge, we recognize that our team is our most valuable asset. As pioneers in the private market technology sector, we aim to create a brighter future for all. This vision is embodied in our core values of boldness, accountability, and humility. We witness the impact of our vision daily, supporting the teams behind the most remarkable innovations of our era, from space exploration to artificial intelligence, and beyond.With our liquidity solutions, exclusive insights, custody offerings, and a dynamic marketplace, Forge strives to establish a leading-edge technology infrastructure that empowers a transparent, accessible, and seamless global private market for companies, their employees, and investors. Through Forge, employees can liquidate their private shares, employers can reward shareholders with pre-IPO liquidity, and both individual and institutional investors can engage with the growth of private unicorns.Forge's unique global marketplace meets the increasing demand from individual and institutional investors seeking exposure to private company stocks, creating a significant network effect.Our ability to provide these impactful financial solutions has sparked tremendous interest from investors, heightened customer demand, and a pressing need to expand our team to cater to the evolving requirements of more companies, teams, and innovators.The Role:As part of Forge's platform engineering team, you will join a group dedicated to innovation, developing scalable, secure infrastructure solutions that drive liquidity and growth in the private market. Our teams utilize a wide array of technologies to support our core platform, Metal, and we thrive on swift execution, delivering value, and adhering to our values of being bold, humble, and accountable.We are in search of a dedicated platform engineer with a minimum of 7 years of experience in delivering robust, scalable, and secure infrastructure solutions that are easy to maintain. The ideal candidate excels in collaborative environments and is driven by the desire to foster success through effective communication, crafting exceptional developer experiences, and making informed, data-driven decisions.To excel as a Staff Platform Engineer at Forge, you will leverage your expertise in infrastructure and software to deliver high-quality platforms both independently and through technical leadership of others. You will tackle advanced infrastructure projects – ranging from multi-cluster orchestration to SOC 2 compliance automation – while also being an engaged and collaborative team member.Location: This role requires in-office attendance 2-3 days a week in San Francisco, CA.

ABOUT THE ROLE:As a Full Stack Engineer at Varick Agents, you will play a pivotal role in developing the foundational infrastructure and product interfaces that drive our agent deployments. While this position is not client-facing, your contributions will ensure that each deployment is executed with enhanced speed, reliability, and consistency.This dynamic role requires you to engage with backend services, APIs, data pipelines, and user interfaces. Your responsibilities will include creating the orchestration layer for agent execution and developing the dashboards and controls utilized by clients, ensuring that every line of code you write supports real enterprise operations.WHAT YOU'LL DO:Develop and manage backend services for agent orchestration, tool activation, and workflow execution.Design and implement product interfaces for agent monitoring, human-in-the-loop controls, and client dashboards.Construct data pipelines that integrate with various enterprise systems such as ERPs, CRMs, and data warehouses.Create internal tools that expedite deployment processes and minimize engineering time for individual clients.Ensure the reliability, observability, and performance of production systems.Collaborate closely with Frontend Developers to transform client-specific solutions into reusable platform capabilities.WHAT WE'RE LOOKING FOR:At least 3 years of experience in software engineering, specifically in building production systems.Strong understanding of backend fundamentals including APIs, databases, cloud infrastructure, and distributed systems.Proficiency in full stack development, capable of creating both backend services and the UI that interfaces with them.Production experience with Python.Familiarity with cloud infrastructures such as AWS, GCP, or Azure, including containers, managed databases, and CI/CD practices.A commitment to code quality, testing, and the deployment of stable solutions.HELPFUL EXPERIENCE:Experience integrating with enterprise systems (REST/SOAP APIs, webhooks, ETL pipelines).Knowledge of large language model APIs and agent frameworks.Frontend development experience with technologies like React or Next.js.Experience with Infrastructure as Code tools like Terraform or Pulumi.Background in building multi-tenant SaaS or platform products.Experience in startup or early-stage environments.WHY VARICK:Join an innovative team at Varick Agents where you can make a significant impact through your engineering expertise.