Senior Applied AI Engineer

Role Description

We're seeking a technically sharp and organizationally influential Senior Applied AI Engineer to join our Engineering team. Veracity is building a new multi-tenant, API/MCP-first insurance platform where AI agents operate as first-class principals alongside human users – built on a deterministic core with an agentic layer.

This is not a chatbot-building role. As a Senior Applied AI Engineer, you will do two jobs in one:

• Build and harden production agent systems for a regulated insurance domain.
• Help define and implement our AI-first engineering and product principles.

This is a senior individual-contributor role with high architectural and organizational influence and a clear growth path toward technical leadership as the AI team scales.

Key Responsibilities

• Design and ship production agentic systems – multi-agent orchestration, tool use, RAG pipelines, and MCP-based integrations against platform APIs.
• Build the reliability layer around agents – evals, guardrails, observability, cost controls, and regression testing – so agent behavior is measurable and defensible.
• Implement maker-checker patterns so AI accelerates regulated workflows without ever autonomously touching money, bind, or compliance decisions.
• Integrate agent capabilities with the deterministic core including canonical data model, Config Hub, and Control Tower task orchestration.
• Co-author and implement our AI-first engineering principles – 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 – where AI belongs in the product and where it doesn't, human-in-the-loop patterns, agent UX conventions, and how AI capability estimates change scoping and build-vs-buy decisions.
• Set the standard through your own delivery – demonstrating what AI-first engineering makes possible and establishing the reference patterns other engineers adopt.
• Work directly with engineering leadership on the AI architecture roadmap and year-end production proof points.
• Required to perform other duties as requested, directed, or assigned.

Qualifications

• 5+ years of software engineering experience with strong backend or full-stack foundations – APIs, event-driven systems, and data modeling.
• Real production experience with LLM-powered systems – agent orchestration, tool calling, RAG, and structured outputs – not just prototypes or demos.
• Demonstrated ability to make agentic systems reliable – evals, fallbacks, deterministic checkpoints, and cost and latency management.
• Strong product judgment – you scope AI where it earns its place and default to deterministic code where it doesn't.
• Evidence you've changed how others build, not just how you build – workflows, harnesses, or practices you introduced that a team adopted and kept using.
• Clear written communication with comfort operating in an async-first, distributed team environment.

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.

Company Description

Here at Veracity, you’ll be part of a team of trailblazers and visionaries. We’re not just revolutionizing the way people “do” insurance; we are creating a whole new paradigm. Here, you will experience a vibrant and inclusive workplace where your ideas matter!

• Engage in groundbreaking projects that are reshaping the insurance landscape.
• Collaborate with a group of dedicated, like-minded professionals.
• Experience a culture that prioritizes growth and development.

Compensation Range: $140k/yr - $170k/yr

We are proud to be an equal-opportunity employer. We are committed to providing equal opportunities to all qualified applicants, regardless of race, color, religion, sex, national origin, disability, or any other legally protected characteristics.

If you need accommodation, please let us know during the interview process.