Senior Applied AI Engineer
About The Position
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. Money movement, binding, and compliance run on deterministic, auditable systems; agents handle orchestration, intake, document understanding, and workflow acceleration on top. 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, and help define and implement our AI-first engineering and product principles – how the whole organization designs, builds, ships, and operates software with AI in the loop. 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.
Requirements
- 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
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
Benefits
- Health, dental, and vision plans
- 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
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
