Joe Woodard

We are working with a scale-up in New York who are building AI agents to help modernise legacy enterprise software within 92% of the Global 2000. Their platform helps modernise custom code, fix bugs and improve speed of deployment, tripling the productivity of internal teams. They are looking for Senior Engineers after raising a $40m funding round, specifically who can work on their core platform, where you will be owning product/feature decisions and also helping with deployments at fortune 500 level.Responsibilities:You'll work on the systems that let the agent reliably navigate, understand, and operate on large, interconnected enterprise codebases - code search at scale, authentication, sandboxing, tool calling, and the agent orchestration that ties them together.You'll design evaluation frameworks and feedback loops that systematically improve agent performance on real customer workloads. You'll instrument what the agent does, surface failure modes, and turn customer scenarios into reproducible tests that drive measurable improvement.You'll ship the infrastructure that lets the product run reliably at Fortune 500 scale — automated deployments across many customer AWS accounts, robust RBAC and permissioning for agents, security and compliance (SSO, audit, data residency), and cloud and on-prem environment support.You'll build the things customers see and use daily - backend services, integrations with the rest of the enterprise stack, and the client applications customers live in every day.Requirements:3+ years of full-time software engineering experienceBachelor's or advanced degree in Computer Science or a related field from target schoolStrong backend and technical chopsProficiency in Python is importantAI-native - comfortable with coding tools such as Cursor, Claude Code or CodeXNice to Have:Experience in an early-stage start-up (Seed through Series D)Previous experience as a founding engineer or as a founder is a plusExperience with deployments at enteprise levelComfort interacting with LLM tooling and willingness to learn about agentic workflows

We are working with the world's most popular AI Gateway, trusted by leading enterprises across tech, healthcare, and telecom. They provide a unified API for 100+ LLM providers along with routing, authentication, budgets, observability, and governance for production AI systems, and are used by the likes of Netflix, NVIDIA and NASA.They are looking for AI product engineers who can own features end to end and take a high level of ownership. This company do not have any PMs within the business, so engineers own product decisions in close collaboration with the founders, and you will be responsible for leading the build of their second flagship product.Responsibilities:Produce high-quality, maintainable, and scalable technical work, with a strong focus on reliability, scalability, and readability.Take full ownership of product features, from ideation and design to implementation, testing, and deployment.Show initiative by staying current on emerging technologies and suggesting improvements to our stack and processes.Demonstrate reliability through proactive communication, clear timelines, and the ability to unblock yourself and others when needed.Spend time understanding and developing a deep intuition of the product that you're building.Requirements:1+ years of full-time software engineering experienceBachelor's or advanced degree in Computer Science or a related field from target schoolStrong full-stack experienceProficiency in Python is importantAI-native - comfortable with coding tools such as Cursor, Claude Code or CodeXNice to Have:Experience in an early-stage start-up (Seed through Series D)Previous experience as a founding engineer or as a founder is a plusExperience with developer toolingComfort interacting with LLM tooling and willingness to learn about agentic workflows