Backend Engineer for AI Safety Solutions

Application Deadline: We are actively interviewing candidates and aim to fill this role promptly upon finding the ideal match. JOIN OUR TEAMBecome a vital part of our innovative AGI safety product team, where your contributions will transform intricate AI research into actionable tools that mitigate AI risks. As a Backend Engineer, you will collaborate closely with our CEO (who also serves as Head of Product), product engineers, and members of the Evals team to develop products that ensure AI agent safety at scale. Our current focus is on creating tools that monitor AI coding agents for potential safety and security failures.In this small, dynamic team, you will have a significant opportunity to shape both the technology and the team culture while quickly taking on responsibilities. This role is perfect for you if you are passionate about building solutions that enhance the safety of AI agents and thrive in a fast-paced environment, enjoying close collaboration with researchers.KEY RESPONSIBILITIESInfrastructure & Architecture- Design and implement scalable backend systems capable of real-time processing and analysis of substantial AI agent logs.- Build and maintain efficient data processing pipelines to extract, transform, and store agent trajectory data.- Architect database schemas and data models optimized for high-throughput writes and complex analytical queries.- Ensure system reliability by implementing robust error handling, retry logic, and graceful degradation strategies.- Monitor system performance and optimize bottlenecks to guarantee sub-second latency for critical monitoring operations.API Development- Develop secure, well-documented RESTful APIs that facilitate customer integration of our monitoring products into their workflows.- Implement authentication, authorization, and rate limiting measures to protect customer data and ensure efficient resource usage.- Build webhook systems and real-time notification services to alert customers about critical safety events.- Design user-friendly API interfaces that cater to developers while remaining adaptable to various customer needs.

At Scale AI, we’re not just creating AI tools—we’re leading the charge into the next frontier of enterprise AI. As organizations strive to leverage the capabilities of Generative AI, Scale stands at the forefront, offering innovative solutions that revolutionize workflows, automate intricate processes, and enhance efficiency for some of the largest enterprises in the world. Our Scale Generative AI Platform (SGP) provides essential services and APIs that empower businesses to effortlessly integrate AI into their operations at a production scale. We are on the lookout for a talented Backend Engineer to play a pivotal role in bringing large-scale GenAI systems into production. In this capacity, you will be responsible for constructing the core infrastructure that drives AI products for major enterprises—designing scalable APIs, distributed data systems, and resilient deployment pipelines that ensure production-grade reliability and performance. This is a unique opportunity to be at the epicenter of the GenAI revolution, tackling challenging backend and infrastructure obstacles that enable AI to function effectively at enterprise scale. If you are enthusiastic about influencing the deployment and scaling of AI systems in real-world scenarios, we would love to hear from you. At Scale, we don't just keep up with AI advancements—we drive them. With profound expertise in data, infrastructure, and model deployment, we are distinctly positioned to tackle the most challenging issues in AI adoption. Join us in shaping the future of enterprise AI, where your contributions will have a direct impact on how businesses operate, innovate, and thrive in the Generative AI era.

At Elliptic, we are pioneering the development of AI-driven tools that empower compliance teams to swiftly and confidently investigate cryptocurrency transactions. Our Automation Forge team is at the forefront of this innovation, crafting backend systems and AI integrations that support Elliptic's copilot, enabling investigators to track fund flows, identify trends, and manage risk in real-time.We are seeking a dedicated Backend Software Engineer to join our team and contribute to the design and implementation of APIs, workflows, and services that facilitate these capabilities.Your Impact:As a Software Engineer within the Automation Forge team, you will play a key role in designing and delivering robust, scalable services that underpin Elliptic’s copilot and other AI-enhanced functionalities.Collaborating with product managers, frontend engineers, and your technical lead, you will transform complex blockchain data into intuitive, user-centric solutions that assist compliance teams in tracing fund flows, revealing intricate patterns, and responding to risks with agility and assurance.By working collaboratively across various disciplines, you will contribute to the development of impactful features while consistently enhancing the quality, reliability, and usability of our platform. Your efforts will be instrumental in advancing Elliptic’s mission to create safer, more transparent, and efficient cryptocurrency markets.Your Responsibilities:Design, develop, and maintain backend services and event-driven systems utilizing TypeScript and Node.js.Build APIs and workflows that seamlessly integrate AI and LLM frameworks to enhance Elliptic's copilot and other intelligent features.Optimize and query data models across both relational and NoSQL databases.Work alongside cross-functional teams to bring features from concept to production.Participate in technical design reviews, planning sessions, and code reviews to continually enhance system quality.Contribute to infrastructure and observability practices within the team, ensuring shared responsibility for the performance of services in production.Your Qualifications:3–6 years of backend engineering experience specifically with TypeScript / Node.js.Strong API design expertise — you have developed and maintained production APIs and understand how to interface with external systems.Proficiency in data modeling — comfortable designing, optimizing, and querying data across various databases.Excellent collaboration skills — able to work effectively with diverse teams and communicate technical concepts clearly.

Who We AreLightning AI is the innovative force behind PyTorch Lightning, established in 2019. We provide a comprehensive platform designed to streamline the development, training, and deployment of AI systems, effectively bridging the gap between research and production.Our merger with Voltage Park, a neocloud and AI Factory, empowers us to combine developer-centric software solutions with economical, large-scale computing capabilities. We equip teams with essential tools for experimentation, training, and production inference, ensuring built-in security, observability, and control.We cater to solo researchers, startups, and large enterprises alike, operating globally with offices in cities such as New York City, San Francisco, Seattle, and London. Our efforts are supported by notable investors including Coatue, Index Ventures, Bain Capital Ventures, and Firstminute.What We’re Looking ForWe are seeking a skilled Backend Engineer to develop and enhance the Lightning AI platform across various components, from the frontend and CLI to API, billing, security, and integrations. You will take full ownership of key features, driving development from concept to production while collaborating with a talented team of engineers, product managers, and designers. This role offers the chance to create groundbreaking technology that will revolutionize the machine-learning ecosystem!This hybrid position is based in our London office with a requirement of 2 in-office days per week. The salary range for this role is $120,000 - $250,000.

About usOwkin is a pioneering AI company dedicated to unraveling the complexities of biology. Our goal is to develop the first Biology Super Intelligence (BASI) by integrating advanced biological large language models, diverse patient data, and intelligent software. Central to our innovation is Owkin K, an AI copilot, and our specially fine-tuned LLM, Owkin Zero, which researchers, clinicians, and drug developers utilize to gain deeper insights into biology, validate scientific hypotheses, and accelerate the delivery of improved diagnostics and therapies.Please submit your CV in EnglishAbout the role:As a Senior AI Backend Engineer at Owkin, you will be instrumental in developing our leading Agentic AI product for biomedical researchers by merging robust engineering practices with state-of-the-art AI technologies. You will engage with a real-time system that integrates LLMs, tool-calling, and interactive UI elements, ensuring our users can interact seamlessly with intricate, domain-specific data.This position demands a balance of traditional engineering principles and innovative methodologies as you integrate LLMs and AI into our technology stack. If you are passionate about building and enhancing a dynamic product, this opportunity is tailor-made for you.Your expertise and experience will be vital in steering our multidisciplinary team towards strategic choices and empowering your colleagues.In particular, you will:Collaborate within a multidisciplinary team of product managers, designers, software engineers, machine learning experts, and biomedical scientists.Design, build, and maintain scalable, reliable AI systems.Drive technical decisions and provide context-aware solutions for AI systems in biological research.Leverage and pioneer evaluation methodologies to ensure continuous product enhancement.Experiment with cutting-edge industry solutions, including orchestration patterns, fine-tuning, specialized monitoring, feedback loops, and more.Lead core stack component development with a focus on sustainability, scalability, security, reliability, and performance.Foster team growth by sharing your expertise and mentoring colleagues through code reviews, technical discussions, and knowledge sharing.About you...

Join V7 LabsAt V7 Labs, we're revolutionizing the AI landscape by creating platforms that empower individuals to achieve peak performance with unmatched efficiency. Our goal is to convert human expertise into reliable AI, streamlining complex processes to be quicker, smarter, and more precise. We are experiencing rapid growth, supported by top investors and AI visionaries, including the creators behind Transformers and Gemini.Your RoleAs a Product Engineer, you will contribute to V7 Go, a platform designed to equip legal, finance, insurance, and accounting sectors with a customizable no-code AI agent toolkit. This tool focuses on harnessing multi-modal data to produce verifiable outputs while ensuring transparency in AI logic for accuracy and compliance.V7 Go integrates the latest models, including GPT-5, Claude 4.1, and Gemini 2.5, ensuring optimal accuracy and performance. Check out the V7 Go keynote for more insights into our innovative solutions.Team Dynamics and ImpactYou will report directly to Chris, our Engineering Manager, and collaborate within the Go Engineering team.Working alongside a dedicated team of up to 7 professionals, you will take on significant responsibilities encompassing coding, testing, planning, and analysis.You will have the autonomy to establish your own objectives, strategies, and metrics, emphasizing impactful outcomes rather than mere task completion.We value proactive engineers who take ownership of their work, demonstrating initiative in problem-solving and collaboration.Your Day-to-Day ResponsibilitiesFacilitating the application of foundational models to scale multi-modal data.Enhancing our platform to effectively manage complex multi-tenant usage patterns.Developing a comprehensive suite of APIs to support both our internal systems and customer-facing products.Delivering production-ready updates multiple times daily, collaborating closely with Product and Design teams to address customer needs.Candidate ProfileExperience in functional programming is essential. Familiarity with Elixir is advantageous, but languages such as Scala, GoLang, Node.js, Haskell, Clojure, and F# are also welcomed.Strong problem-solving skills and a proactive attitude towards challenges.

Join V7 Labs as an AI Solutions Engineer, where you will play a crucial role in harnessing the power of artificial intelligence to develop innovative solutions that drive efficiency and enhance performance across various sectors. This exciting opportunity is perfect for tech-savvy individuals eager to work in a dynamic environment where creativity and technical expertise intersect.

Join Our Team as a Senior Product Engineer (AI)At Plain, we're revolutionizing customer support for the next generation of B2B enterprises. Our goal is to create the fastest and most powerful platform that enables businesses to transition from reactive support methods to building genuine relationships with their customers.Renowned companies like Cursor, Raycast, and Granola rely on Plain to centralize customer interactions, enhance team collaboration, and elevate workflows through advanced AI technology.The landscape of B2B customer support is evolving dramatically, with AI paving the way for innovative customer engagement strategies. Support has shifted from being a disconnected, slow process to a cohesive, company-wide initiative that spans channels like Slack, Discord, and beyond. The traditional methods just can't keep up anymore.This position is hybrid, requiring 3 days a week in our London office.Your RolePlain is in an extraordinary position, already powering support solutions for high-growth businesses with our incredibly fast and scalable platform. AI has been integral to our offering from day one, and now we’re committed to deepening its impact across all facets of modern customer support.We are on the lookout for a Senior Product Engineer with a passion for customer success to elevate our AI initiatives. In this role, you will develop the infrastructure necessary for rapid, secure, and confident delivery of AI features, taking ownership of challenges from inception to execution and playing a pivotal role in crafting a category-defining product.In this role, you will:Take full ownership of AI functionalities, including agents, assistants, insights, and beyond—from concept through to production.Design and implement backend services that support AI integrations and data pipelines.Create robust APIs and abstractions for internal AI applications.Enhance system scalability through caching, optimization, and processing patterns.Contribute to the evolution of our AI infrastructure, including architecture, evaluation, and iteration pipelines.Tackle complex challenges surrounding AI accuracy, reliability, and quality using rigorous quantitative methods.Represent our work externally through writing, speaking engagements, and connections with the broader AI community.This Role is Ideal for You If You...Are an experienced backend engineer with a proven track record of shipping AI products in the era of OpenAI and Anthropic, particularly in text and data-intensive AI applications.Possess a deep understanding of AI technologies and their applications in real-world customer support scenarios.

Application Deadline: We are actively interviewing candidates and seek to fill this position promptly with a suitable applicant. THE OPPORTUNITYBecome a vital member of our groundbreaking AGI safety product team and play a key role in transforming intricate AI research into actionable tools aimed at minimizing AI-related risks. In your role as an applied researcher, you will collaborate closely with our CEO (who also acts as Head of Product), product engineers, and the Evals team’s software engineers to develop solutions that enhance AI agent safety for our clients. Currently, we are concentrating on the oversight of AI coding agents to identify failures in safety and security. You will be part of a compact team, which allows you to significantly influence both team dynamics and technological approaches while quickly assuming greater responsibilities. This position is perfect for you if you have a fervent desire to employ empirical research methodologies to enhance the safety of AI systems in practical applications. If you relish the challenge of converting theoretical AI risks into tangible detection mechanisms, thrive in fast-paced environments, and are eager to see your research make a meaningful impact on real-world AI safety, then we would love to hear from you.KEY RESPONSIBILITIESResearch & Development- Collect and catalog coding agent failure modes systematically from real-world instances, public examples, research literature, and theoretical predictions.- Design and execute experiments to evaluate monitor effectiveness across various failure modes and agent behaviors.- Develop and maintain evaluation frameworks to track advancements in monitoring capabilities.- Refine monitoring strategies based on empirical findings, optimizing detection accuracy alongside computational efficiency.- Stay updated with the latest research in AI safety, agent failures, and detection methodologies.- Keep abreast of advancements in coding security and safety vulnerabilities.Monitor Design & Optimization- Create a comprehensive library of monitoring prompts tailored to specific failure modes (e.g., security vulnerabilities, goal misalignment, deceptive behaviors).- Experiment with various reasoning strategies and output formats to enhance monitor reliability.- Design and evaluate hierarchical monitoring architectures and ensemble approaches.

About Our TeamJoin our innovative AI Platform team at realtimeboardglobal, where we are at the forefront of Miro’s AI-powered product vision. We are dedicated to developing the internal platform, tools, and APIs that empower Miro’s product teams to integrate and scale AI applications seamlessly. Our mission is to create a robust and adaptable technical foundation for AI innovation, enabling our teams to work efficiently, innovate responsibly, and deliver exceptional AI features to our users.Your RoleAs a Senior Backend Engineer within our AI Platform team, you will play a pivotal role in constructing and enhancing the core infrastructure that powers AI across Miro. You will establish the technical groundwork for how we develop, deploy, and manage AI/ML capabilities, serving tens of millions of users as we transition into an increasingly intelligent product. You will design internal tools that allow teams to experiment with and release AI features swiftly and responsibly, as well as manage data pipelines for AI applications. This is a unique opportunity to influence how AI is developed and embraced company-wide.

At Plain, we are revolutionizing customer support for the modern B2B landscape. Our aim is to develop the most rapid and powerful platform, enabling companies to transcend traditional reactive support and foster genuine customer relationships.Renowned companies such as Cursor, Raycast, and Granola trust Plain to consolidate their customer interactions, enhance team collaboration, and elevate their workflows through the integration of AI.The B2B customer support sector is experiencing a monumental transformation, with AI redefining customer engagement. Support is evolving from a siloed function to a collaborative effort across platforms like Slack, Discord, and other communication channels. The outdated methods of slow, manual, and fragmented processes are no longer viable.This position offers a hybrid work model, requiring 3 days a week in our London office.Key ResponsibilitiesWorking at Plain involves more than just managing tasks; it encompasses owning and addressing challenges comprehensively—from infrastructure decisions to feature design and user interface elements.In this role, you will:Influence Product Strategy: Contribute to the technical architecture and product roadmap, effectively balancing customer insights with long-term product sustainability.Deliver Features from Concept to Launch: Define, develop, and deploy product features that directly address customer needs. Teams include:Core Product Team: Manage all customer-facing channels (Slack, Discord, Email, etc.), core data models, and customer requests while balancing rapid execution with foundational integrity.Developer Infrastructure Team: Create the essential tools that empower every engineer at Plain to effectively deliver and maintain the product, with a focus on optimizing team speed and minimizing obstacles.Enhance Backend Architecture: Tackle some of our most intricate challenges, from data modeling to high-performance reporting, establishing standards for our development processes.Optimize Developer Experience: Ensure that Plain is not only user-friendly but also developer-friendly, from data pipelines to APIs.

Application Deadline: We are actively interviewing and looking to fill this position promptly with the right candidate. EXCITING OPPORTUNITYBecome a pivotal member of our newly established AGI Safety Product Team at Apollo Research. In this Full Stack Engineer role, you will collaborate directly with our CEO, who also serves as Head of Product, alongside other talented product engineers and the Evals team to craft tools that enhance AI agent safety at scale for our users. Your contributions will help develop innovative products that monitor AI coding agents for safety and security risks. Joining our small, dynamic team means you'll have substantial influence over both team dynamics and technological direction, with opportunities to quickly take on greater responsibilities.This position is perfect for you if you are passionate about creating products that genuinely enhance AI safety, thrive in fast-paced environments, and enjoy collaborative work with researchers.PRIMARY RESPONSIBILITIESProduct Development- Work alongside the team lead to clarify tool specifications, translating them into robust technical architectures.- Engineer and sustain features across the entire stack, from responsive front-end interfaces (using React) to scalable backend services in Python.- Produce clean, well-documented, and maintainable code that adheres to our rigorous standards for security and performance, while engaging with users to capture their use cases and requirements.Back-End Development- Design and build scalable backend services capable of processing and analyzing extensive AI agent logs.- Develop RESTful APIs and data processing pipelines for AI agent logs.- Create secure API endpoints to facilitate the integration of our tools into customer workflows.- Establish monitoring and logging systems to ensure optimal reliability and performance.Front-End Development- Construct intuitive user interfaces that empower customers to comprehend and act on AI agent safety and security evaluations.- Create interactive data visualizations that effectively convey complex AI behaviors.

We are seeking a visionary Technical Director of AI Safety to lead our efforts in ensuring the responsible and ethical deployment of artificial intelligence technologies. In this pivotal role, you will be instrumental in shaping our AI safety strategies, conducting risk assessments, and developing best practices that align with industry standards.As the Technical Director, you will collaborate with cross-functional teams, including engineering, research, and compliance, to promote a culture of safety and accountability. You will also represent the organization in public forums and contribute to policy discussions on AI safety.

Join Edra: Pioneering Solutions in Enterprise AIAt Edra, we're tackling one of the most challenging issues in enterprise AI: while AI models are inherently generic, company processes are uniquely specific. Our mission is to develop AI agents that comprehend how these processes operate and effectively manage their tasks.As a Series A startup, we are proudly supported by Sequoia and other prestigious venture capital firms. With our teams expanding in New York and London, we are a highly technical group comprising engineers, AI researchers, and strategists who all uphold a rigorous standard for talent. We believe that exceptional individuals are the cornerstone of our future success.Your RoleWe seek dedicated Backend Engineers who are passionate about the art of software development. Your focus will be on implementing strong typing, thoughtful API design, and robust data modeling. You will not be developing AI models; instead, you will construct the surrounding ecosystem: the platform, workflows, interfaces, integrations, and observability that render our AI applicable in real-world scenarios. As one of the early engineers at Edra, you will have the opportunity to influence not only the product but also the engineering culture, tooling decisions, and technical frameworks upon which our company is built.Our approach is intentional and thorough. There is no distinction between 'building it' and 'shipping it'—you will oversee the journey from conceptualization to deployment, taking full ownership of your outcomes. We prioritize thoughtful development over speed, striving for a balance between velocity and quality.Key ResponsibilitiesDesign and implement platform systems utilizing Python (FastAPI), including API contracts, database schemas, and infrastructureDevelop and sustain connectors, integrations, and data pipelines that link our platform to external systemsCreate internal libraries, tools, and interfaces that enhance the productivity of the engineering teamTake full ownership of your work by gathering context, managing dependencies, and driving tasks to completion independentlyEngage in multiple roles across the stack—design a schema in the morning, develop the API layer in the afternoon, and troubleshoot a deployment issue by day’s endParticipate in weekly product meetings, understand user interactions with your creations, and help shape future developmentsCollaborate daily with a small, elite team of engineers and AI specialistsHave a direct impact on the technical direction: select tools, establish patterns, and define conventions for the team

Join Anthropic as an AI Safety Fellow, where our mission is to develop reliable and interpretable AI systems that prioritize safety and societal benefits. This unique opportunity allows you to engage in cutting-edge AI safety research for four months, with guidance from leading experts in the field. You will utilize external infrastructures to undertake an empirical project aligned with our research goals, culminating in a public output such as a research paper. We foster a collaborative environment, connecting you with the broader AI safety research community, and providing generous stipends and resources to support your research endeavors.

CoreWeave is recognized as The Essential Cloud for AI™, designed for innovators by innovators. Our platform provides cutting-edge technology, tools, and expert teams that empower pioneers to confidently build and scale AI solutions. With the trust of leading AI laboratories, startups, and global enterprises, CoreWeave merges exceptional infrastructure performance with profound technical expertise to drive breakthroughs and transform compute capabilities. Established in 2017, CoreWeave became a publicly traded entity (Nasdaq: CRWV) in March 2025. Discover more at www.coreweave.com.As a proud Living Wage accredited employer, we prioritize fair compensation for our team.Your Responsibilities:Lead the effort as a Lead Solutions Architect, serving as a technical expert to guide enterprise clients in exploring AI-driven solutions for engineering challenges.Collaborate with sales teams and Deployment Strategists to meticulously understand customer needs and design tailored technical solutions that showcase the value of AI in intricate engineering workflows.Oversee proof-of-value initiatives, prototype AI workflows, and validate technical feasibility using client data.Ensure that proposed solutions are technically sound, provide quantifiable benefits, and are primed for seamless transition to implementation teams.

Senior Full‑Stack/AI Engineer (Backend-leaning)About Us:At AND Digital, we are a forward-thinking tech company committed to enhancing digital delivery and bridging the digital skills gap. Since our inception in 2014, we have partnered with organizations to create exceptional digital products and to strengthen their digital teams.Our mission is to leave a lasting legacy for our clients. We achieve this by fostering close relationships within our regional offices or ‘Clubs’, ensuring that our partners receive priority service from a dedicated local team.This innovative approach has led to significant success for both our clients and ourselves, as demonstrated by our impressive organic growth since 2014. We now boast over 1,300 talented individuals across Clubs throughout the UK and Europe, with ambitious plans for global expansion in the coming years.Join us on our mission to close the world’s digital skills gap!What You Will Contribute:Core Technical Skills:Extensive hands-on experience in backend engineering, proficient in one or more languages such as Java, Node.js, TypeScript, Python, or Go, with the flexibility to work across multiple languages as necessary.Proven track record in designing and implementing scalable, resilient, and maintainable backend systems, including REST/GraphQL APIs, event-driven architectures, and distributed services.Hands-on experience with AWS (including services such as Lambda, ECS, DynamoDB, SQS/SNS, API Gateway, Step Functions, etc.) and a strong grasp of cloud-native patterns. Familiarity with GCP, Azure, or other cloud platforms is a plus.Solid experience in Infrastructure as Code (preferably Terraform), CI/CD pipelines, and modern deployment methodologies.Comfortable working across the entire tech stack, contributing to frontend codebases when required, while maintaining a primary focus on backend and systems engineering.Demonstrates technical leadership by shaping architectural direction, reviewing designs, and exemplifying high-quality engineering practices.A strong foundation in system design, including trade-off analysis, performance considerations, observability, and operational readiness.Able to take ownership of complex technical challenges, make pragmatic decisions, and articulate reasoning effectively to both technical and non-technical stakeholders.AI & Emerging Technologies:Hands-on experience integrating AI into backend systems, such as orchestrating AI services, creating AI-driven workflows, or utilizing AI tools to enhance engineering productivity.Experience in developing AI-enabled systems (including solutions based on LLM or RAG) from MVP or proof-of-concept to production-ready implementations, with an emphasis on reliability, evaluation, security, and maintainability.Ability to discern where AI can meaningfully enhance backend systems (e.g., classification, summarization, anomaly detection) as opposed to traditional algorithms.

Join Our Innovative Team at DexAt Dex, we harness the power of AI to revolutionize recruitment by connecting outstanding software engineers with leading tech companies. As one of the fastest-growing startups in the UK, we have secured $3.1 million in funding from prestigious investors such as a16z and Concept Ventures. Our mission is to develop a cutting-edge voice agent, advanced matching engine, and a seamless web application experience that transforms the landscape of talent acquisition.We are looking for a passionate Backend Software Engineer to join our dynamic team. In this role, you will contribute to building our innovative products and AI-driven agent systems, enabling a deeper understanding of our users and their unique opportunities.Your Role and ResponsibilitiesAs a Backend Software Engineer at Dex, you will take ownership of the backend infrastructure that powers our voice agent and other applications. You will be working with a modern tech stack that includes Python, FastAPI, Postgres, Redis, Docker, and Pydantic AI, all hosted on Google Cloud Platform (GCP). Your responsibilities will encompass:Product Backend: Manage critical components of our backend architecture, ensuring new features are implemented securely and are scalable from inception.Agent Backend: Enhance the infrastructure supporting our voice agent, which includes conducting evaluations, improving information extraction methods, and guaranteeing reliable performance at scale.Observability: Implement monitoring, logging, and performance metrics to maintain visibility into our production systems.Matchmaking: Design and optimize the systems that drive our AI-powered talent matching engine.What You Will AchieveArchitect and develop scalable backend systems for AI workflows and product infrastructure.Ensure reliability and performance of the systems supporting our voice agent and web application.Collaborate with team members to set technical direction, architecture, and long-term objectives.Create and maintain robust APIs, authentication frameworks, and database designs.Work closely with product managers, designers, and engineers to build infrastructure that adapts to changing requirements.Contribute to establishing best practices for system reliability, performance, and deployment speed.

About MetaviewMetaview is dedicated to eliminating toil in the workplace. We believe that toil hinders progress, much like friction impedes motion. Our innovative solution is found in Human-Computer Symbiosis.With the introduction of AI copilots, the way we work is set to transform:Encouraging a flow state while minimizing toil.Enhancing insight while reducing guesswork.Focusing on human-centricity rather than process-centricity.Metaview serves as the AI copilot for hiring processes.Founded in April 2018 by Siadhal and Shahriar, who left their roles at Uber and Palantir, respectively, to address their own challenges in product and team development. Today, we empower thousands of users at leading companies such as Quora, Robinhood, Brex, Elastic, and Replit.Our team is small, high-performing, and fast-paced, with a relentless focus on delivering exceptional work.

Mendix builds a low-code application development platform used by organizations worldwide to launch new ideas quickly. Since joining Siemens in 2018, Mendix has blended the scale of a global software company with the flexibility of a fast-growing team. The Solutions Engineer - Core AI position is available in several cities: London, Rotterdam, Amsterdam, Munich, Berlin, Erlangen, Frankfurt, or Stuttgart. This role centers on developing and scaling hybrid agentic workforces by combining low-code tools, AI, data, and system integrations. The goal is to help organizations efficiently create and orchestrate agents and applications. What you will do Design and build customer-facing prototypes and lighthouse projects to test and validate AI-driven integration scenarios. Lead strategic workshops and technical sessions with both customers and internal teams, focusing on agentic AI workflows and advanced integrations. Transform successful customer projects into reusable assets, such as reference architectures, blueprints, accelerators, and scalable patterns. Act as the technical lead for agentic system design, guiding tool selection, orchestration, and multi-agent strategies. Develop and manage complex integration architectures to ensure smooth operation across diverse platforms.