Explicitly focused on production agentic LLM systems (RAG, agent orchestration) and driving AI-first engineering practices across teams.
About the Role
Senior Applied AI Engineer to design, build, and harden production agentic LLM systems for a regulated insurance platform and integrate agent capabilities with a deterministic core. The role also defines and drives AI-first engineering and product principles across distributed squads, with high architectural and organizational influence.
Job Description
Role
Senior Applied AI Engineer responsible for building and hardening production agentic systems for a regulated insurance platform and helping define and implement AI-first engineering and product principles. This is an individual-contributor role with significant architectural and organizational influence, working across distributed squads (Vilnius and the US).
Key Responsibilities
- Design and ship production agentic systems, including multi-agent orchestration, tool use, RAG pipelines, and MCP-based integrations against platform APIs.
- Build reliability layers around agents: evals, guardrails, observability, cost controls, and regression testing to make agent behavior measurable and defensible.
- Implement maker-checker patterns so AI accelerates regulated workflows without autonomously handling money, binding, or compliance decisions.
- Integrate agent capabilities with the deterministic core (canonical data model, Config Hub, Control Tower task orchestration).
- Co-author and implement AI-first engineering practices: agent harnesses, AI-assisted code review, shared skills and prompt libraries, eval-gated CI, and dev-environment standards; drive adoption across squads.
- Shape AI-first product principles: human-in-the-loop patterns, agent UX conventions, and scoping/build-vs-buy decisions informed by AI capability estimates.
- Deliver reference implementations and work with engineering leadership on AI architecture roadmap and production proof points.
Requirements
- 5+ years of software engineering experience with strong backend or full-stack foundations (APIs, event-driven systems, data modeling).
- Real production experience with LLM-powered systems: agent orchestration, tool calling, RAG, and structured outputs (not just prototypes).
- Demonstrated ability to make agentic systems reliable: evals, fallbacks, deterministic checkpoints, cost and latency management.
- Strong product judgment: apply AI where it adds value and default to deterministic code where appropriate.
- Track record of changing team practices or workflows (introducing harnesses, workflows, or practices that were adopted by others).
- Clear written communication and comfort operating in an async-first, distributed team environment.
Perks
- Health, dental, and vision plans
- 4 weeks Paid Time Off
- 10 Paid Company Holidays plus 2 floating holidays
- 401(k) program with employer match
- Personal assistance programs (employee support resources)
Compensation
- Compensation Range: $140,000/year - $170,000/year