Senior Applied AI Engineer

Veracity Insurance Solutions is building an API/MCP-first insurance platform for a regulated domain, and it needs a Senior Applied AI Engineer to bring production-grade agent systems to life. This is a senior individual contributor role with strong architectural influence, focused on hardening agentic workflows and helping define AI-first engineering and product principles across teams.

As a remote engineer, you will design and ship agentic capabilities that integrate with the platform’s deterministic core, while establishing reference patterns others can adopt. The role also includes shaping reliability and evaluation practices so agent behavior is measurable and defensible.

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 using evals, guardrails, observability, cost controls, and regression testing to ensure agent behavior is measurable
• Implement maker-checker patterns so AI accelerates regulated workflows without autonomously touching money, bind, or compliance decisions
• Integrate agent capabilities with the deterministic core, including a 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 influence scoping and build-versus-buy decisions
• Set the standard through your own delivery by demonstrating what AI-first engineering enables and establishing reference patterns for other engineers
• 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, including evals, fallbacks, deterministic checkpoints, and cost and latency management
• Strong product judgment, scoping AI where it earns its place and defaulting to deterministic code where it does not
• Evidence of changing how others build, such as workflows, harnesses, or practices that were introduced and kept using
• Clear written communication and comfort operating in an async-first, distributed team environment

Technologies

• LLM-powered systems, RAG, APIs, MCP, tool calling, structured outputs
• Event-driven systems

Compensation Range

USD 140,000 - 170,000 per yearly

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

About Veracity

• Engage in projects reshaping the insurance landscape
• Collaborate with a group of dedicated, like-minded professionals
• Culture prioritizes growth and development