Agent Engineer / Forward Deployed Engineer
Intent Lab
Agent Engineer / Forward Deployed Engineer
Intent Lab
Autonomous AI software engineering platform
We are looking for highly capable and customer-obsessed Agent Engineers / Forward Deployed Engineers to lead technical deployments of IntentLab inside large engineering organizations. This role requires strong engineering fundamentals, hands-on agent experience, sharp customer instincts, and the ability to operate independently in ambiguous, high-stakes environments.
Lead end-to-end technical deployments of IntentLab inside customer engineering organizations.
Wire our system into customer codebases, CI/CD pipelines, and cloud infrastructure.
Own the customer technical lifecycle from first integration through steady-state operation.
Build and tune custom agent behaviors, tool integrations, and evaluation harnesses for each customer's backend.
Debug agent performance across distributed systems and unfamiliar production code.
Validate integrations and maintain reliable system performance in customer environments.
Lead demos, pilots, and technical workshops with engineers, platform leads, and CTOs.
Build deep relationships with customer engineering teams and drive adoption from the inside.
Translate customer pain and usage patterns into product and research priorities.
Bias toward shipping fixes and features yourself rather than filing tickets.
Write crisp documentation, reference integrations, and playbooks that turn one-off wins into repeatable ones.
Operate at the edges — name problems, propose solutions, drive to done.
3+ years of software engineering experience, with a strong foundation in backend or infrastructure work.
Hands-on experience with LLMs and agent systems: prompt engineering, tool use, evals, multi-step orchestration.
Familiarity with distributed systems, containers, CI/CD, and cloud platforms (AWS/GCP/Azure).
Proficiency in at least one modern language (e.g., Python, TypeScript, Go).
Strong written and verbal communication — comfortable with senior engineers and executives alike.
Self-directed by default; comfortable with ambiguity, context switching, and sustained intensity.
Based in the Bay Area or willing to relocate (onsite role).
Customer empathy and end-to-end ownership.
Bias toward execution over planning to execute.
Technical curiosity and exploratory rigor.
Pragmatism over over-engineering.
Grit in high-intensity, ambiguous environments.
Autonomous AI software engineering platform
Intent Lab builds autonomous software automation with an AI system called Fleet that acts as an engineering team. Fleet converts natural-language intents into production-grade software, handling architecture design, coding, infrastructure deployment, testing, verification, and ongoing optimization. It differentiates itself by integrating full lifecycle management and quality checks beyond typical code generators. The goal is to deliver software tailored to a user’s constraints and workflow, streamlining AI-assisted development for clients.
Explore more opportunities at Intent Lab