Forward Deployed AI Engineer

1. 1

   Work directly with customers to navigate ambiguity, uncover high-value opportunities, challenge assumptions, and translate complex business needs into clear technical direction.

2. 2

   This requires curiosity and business acumen as you discover business workflows and jointly define the outcomes an AI solution should drive.

3. 3

   Architect and build production AI systems, from multi-agent workflows, orchestration, tool use, context engineering, memory and state…

4. 4

   You won’t simply be given a list of responsibilities—you’ll have the authority to own the outcome for your client and make a real-world impact…

5. 5

   End-to-end systems ownership: A track record of taking complex systems from architecture through deployment and scale, with a practical understanding of evaluation, observability…

6. 6

   Exceptional customer and technical leadership: The ability to enter unfamiliar environments, earn trust quickly, navigate ambiguity, challenge assumptions constructively…

7. 7

   Client-ready communication: The ability to explain technical concepts clearly, navigate ambiguity, work with stakeholders, and remain calm under pressure.

Don’t Meet Every Qualification Yet?

8. 8

   Deep production engineering experience: Typically 8+ years building and operating sophisticated software systems, with expertise in Python, backend systems, APIs, databases, distributed systems…