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Senior Applied AI Engineer

Veracity Insurance Solutions Remote 🌍 Remote

Remote

Today

$140k - $170k/yr Full time Backend Developer Senior Agentic Ai

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Job Description

Senior Applied AI Engineer role supporting the build and hardening of production agent systems for a regulated insurance environment. This is a senior individual contributor position with meaningful architectural and organizational influence, including work to define AI-first engineering and product principles for a multi-tenant, API/MCP-first platform.

Responsibilities

Design and ship production agentic systems, including multi-agent orchestration, tool use, RAG pipelines, and MCP-based integrations against platform APIs.
Build a reliability layer around agents through evals, guardrails, observability, cost controls, and regression testing to ensure agent behavior is measurable and defensible.
Implement maker-checker patterns so AI accelerates regulated workflows without autonomously touching money, binding, or compliance decisions.
Integrate agent capabilities with the deterministic core, including the canonical data model, Config Hub, and Control Tower task orchestration.
Co-author and implement AI-first engineering principles such as agent harnesses, AI-assisted code review, shared skills and prompt libraries, eval-gated CI, and dev-environment standards, then drive adoption across squads in Vilnius and the US.
Shape AI-first product principles, including where AI belongs in the product and where it does not, human-in-the-loop patterns, agent UX conventions, and how AI capability estimates affect scoping and build-versus-buy decisions.
Set the standard through own delivery by demonstrating what AI-first engineering enables and establishing reference patterns others adopt.
Work with engineering leadership on the AI architecture roadmap and year-end production proof points.
Perform other duties as requested, directed, or assigned.

Requirements

5+ years of software engineering experience with strong backend or full-stack foundations, including APIs, event-driven systems, and data modeling.
Real production experience with LLM-powered systems, including agent orchestration, tool calling, RAG, and structured outputs (not only prototypes or demos).
Demonstrated ability to make agentic systems reliable using evals, fallbacks, deterministic checkpoints, and cost and latency management.
Strong product judgment to scope AI where it earns its place while defaulting to deterministic code where it does not.
Evidence of changing how others build, such as workflows, harnesses, or practices introduced that teams adopted and continued using.
Clear written communication and comfort working in an async-first, distributed team environment.

Technologies

LLM-powered systems
RAG
APIs
MCP
Tool calling
Structured outputs
Event-driven systems

Benefits

Health, dental, and vision plans.
Amazing work-life balance with 4 weeks of Paid Time Off.
10 Paid Company Holidays with 2 floating holidays.
401K programs with employer match.
Personal assistance programs for support in a healthy personal and work life.

Compensation Range

USD 140,000 - 170,000 per year

Location

Remote

About the Role Context

This position focuses on building and hardening production agent systems in a regulated insurance domain, while helping define AI-first engineering and product principles for a multi-tenant, API/MCP-first platform. The role is designed for an individual contributor who can drive architectural direction and adoption across squads in Vilnius and the US.

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