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, AI voice agents, complex workflow automation.
Skills
- Python programming
- Reverse engineering
- Customer communication
- AI and machine learning
Benefits
- Equity
Pay
- $130k - $180k
Schedule
- Full-time
About the role
The Forward Deployed Engineer plays a crucial role in bridging the gap between legacy tech stacks and cutting-edge AI, automating complex workflows for insurance agencies. This role requires a high level of autonomy and the ability to translate tribal knowledge into scalable solutions.
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.
How this works
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