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, reverse-engineering legacy APIs, telephony integration.
• Experience: Insurance agency workflows, complex AI challenges, mission-driven team environment.

Skills

• Python programming
• Reverse-engineering legacy systems
• LLM applications development
• Telephony integration

Benefits

• Equity

Pay

• $130k-$180k

Schedule

• Full-time

About the role

As the first US Forward Deployed Engineer, you will own customer deployments end-to-end for insurance agencies. You'll bridge the gap between legacy tech stacks and cutting-edge AI, reverse-engineering undocumented systems to ship production-ready AI voice agents. This is a high-autonomy role where you will translate messy real-world workflows into scalable, production-ready automation.

Why this role is remarkable

• 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.