Forward Deployed Engineer ($130k-$180k + Equity) at Synth AI Labs Inc. (Infer)
Job Description
- Own the entire deployment lifecycle from scoping workflows with agency owners to integrating AI voice agents into messy, legacy insurance systems.
- Build reusable connectors, configuration layers, and evaluation harnesses to accelerate the speed and reliability of future customer onboarding and account expansions.
- Translate tribal knowledge from insurance professionals into system designs and ship prompt improvements that ensure high-fidelity performance across thousands of calls.
Requirements
- At least 2 years of experience shipping production code in Python with specific expertise in building and deploying LLM applications to real users.
- Strong background in reverse-engineering legacy APIs or undocumented systems, with a high-agency mindset to solve complex problems without a pre-existing playbook.
- Excellent communication skills to act as a customer translator, moving seamlessly between technical system design and strategic conversations with non-technical agency owners.
Qualifications
- Technical skills: Python, LLM applications, API reverse-engineering.
- Experience: 2+ years in production code development, specifically in Python.
- Problem-solving: Ability to tackle complex, undocumented systems and translate tribal knowledge into scalable solutions.
- Communication: Strong ability to communicate technical ideas to non-technical stakeholders.
Skills
- Python programming
- Reverse-engineering legacy APIs
- Building and deploying LLM applications
- Communicating technical ideas to non-technical stakeholders
Benefits
- Equity
Pay
- $130k - $180k
Schedule
- Full-time
About the role
Join a well-funded YC S21 company building in a massive $400B industry currently underserved by modern software and sophisticated AI technology. Enjoy direct access to the founders and high-loop ownership where your technical decisions directly impact the company's deployment playbook and scalability. Work on complex AI challenges involving real-time voice agents, LLM evaluations, and telephony integration within a mission-driven team that values interdisciplinary talent.
Why this role is remarkable
High autonomy, direct access to the founders, high-loop ownership, complex AI challenges, mission-driven team, interdisciplinary talent.
What You Will Do
Own the entire deployment lifecycle from scoping workflows with agency owners to integrating AI voice agents into messy, legacy insurance systems.
Build reusable connectors, configuration layers, and evaluation harnesses to accelerate the speed and reliability of future customer onboarding and account expansions.
Translate tribal knowledge from insurance professionals into system designs and ship prompt improvements that ensure high-fidelity performance across thousands of calls.
The ideal candidate
At least 2 years of experience shipping production code in Python with specific expertise in building and deploying LLM applications to real users.
Strong background in reverse-engineering legacy APIs or undocumented systems, with a high-agency mindset to solve complex problems without a pre-existing playbook.
Excellent communication skills to act as a customer translator, moving seamlessly between technical system design and strategic conversations with non-technical agency owners.
Who are Jack & Jill?
Jack is an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then he helps you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support.
Jill is the AI Recruiter working for the company. She recruits from Jack's network. If it's a match and the company wants to meet you, they'll make the intro. In the meantime, if you'd like, Jack will send you excellent alternatives. We never post fake jobs. This isn't a trick. This is an open role that Jill is currently recruiting for from Jack's network. Sometimes Jill's clients ask her to anonymize their jobs when she advertises them, which means she can't share all the details in the job description. We appreciate this can make them look a bit suspect, but there isn't much we can do about it. Give Jack a spin! You could land this role. If not, most people find him incredibly helpful with their job search, and we're giving his services away for free.