Full-Time

Senior Applied AI Engineer

Updated on 8/26/2026

Veracity Insurance Solutions

Veracity Insurance Solutions

Compensation Overview

$140k - $170k/yr

Remote in USA + 1 more

More locations: Pleasant Grove, UT, USA

Remote

Category
AI & Machine Learning (1)
Required Skills
LLM
Software Testing
RAG
Observability
REST APIs
Data Modeling
Web Development
DevOps
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, retrieval-augmented generation, and structured outputs.
  • Demonstrated ability to make agentic systems reliable through evaluations, fallbacks, deterministic checkpoints, and cost and latency management.
  • Strong product judgment to scope AI where it earns its place and default to deterministic code where it does not.
  • Evidence of changing how others build through workflows, harnesses, or practices introduced and adopted by a team.
  • Clear written communication and comfort operating in an asynchronous, distributed team environment.
Responsibilities
  • Design and ship production agentic systems, including multi-agent orchestration, tool use, retrieval-augmented generation pipelines, and Model Context Protocol integrations against platform APIs.
  • Build the reliability layer around agents, including evaluations, guardrails, observability, cost controls, and regression testing, so 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, including agent harnesses, AI-assisted code review, shared skills and prompt libraries, evaluation-gated continuous integration, and development-environment standards, then drive adoption across squads in Vilnius and the United States.
  • Shape AI-first product principles, including where AI belongs in the product, human-in-the-loop patterns, agent user-experience conventions, and how AI capability estimates change scoping and build-versus-buy decisions.
  • Set the standard through personal delivery by demonstrating what AI-first engineering makes possible and establishing reference patterns for other engineers to adopt.
  • Work directly with engineering leadership on the AI architecture roadmap and year-end production proof points.
  • Perform other duties as requested, directed, or assigned.
Veracity Insurance Solutions

Veracity Insurance Solutions

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