Senior Applied AI Engineer

Veracity Insurance Solutions, LLC

Senior Applied AI Engineer building production agent systems for Veracity’s multi-tenant insurance platform. Establishing reliable, auditable AI-first engineering practices across distributed teams.

Posted 8/8/2026full-timeRemote • Utah • 🇺🇸 United StatesSenior💰 $140,000 - $170,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing agentic systems with a focus on multi-agent orchestration, API integrations, and AI-first engineering principles. Proven ability to enhance system reliability and drive the adoption of innovative engineering practices across teams.

Highest-signal resume keywords

Multi-Agent OrchestrationAPI IntegrationLLM-Powered SystemsData ModelingAI-First Engineering

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringBackend DevelopmentFull-Stack DevelopmentEvent-Driven SystemsCost ManagementLatency ManagementDeterministic CheckpointsEval-Gated CIRAG PipelinesAgent Orchestration

Soft Skills

Clear Written CommunicationProduct JudgmentCollaboration in Async-First Environment

Tools & Technologies

Control TowerConfig HubAgent HarnessesPrompt Libraries

Industry Keywords

Regulated Insurance WorkflowsHuman-in-the-Loop PatternsAgent UX Conventions

About the role

Key responsibilities & impact

Design and ship production agentic systems using multi-agent orchestration, tool use, RAG pipelines, and MCP-based integrations against platform APIs
Build reliability layers around agents, including evals, guardrails, observability, cost controls, and regression testing
Implement maker-checker patterns for regulated insurance workflows
Integrate agent capabilities with the deterministic core, 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, eval-gated CI, and development-environment standards
Drive adoption of AI-first engineering practices across squads in Vilnius and the US
Shape AI-first product principles, human-in-the-loop patterns, agent UX conventions, and AI capability estimation practices
Establish reference patterns through personal delivery for other engineers to 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

What you’ll need

5+ years of software engineering experience with strong backend or full-stack foundations
Experience with APIs, event-driven systems, and data modeling
Real production experience with LLM-powered systems, including agent orchestration, tool calling, RAG, and structured outputs
Demonstrated ability to make agentic systems reliable through evals, fallbacks, deterministic checkpoints, and cost and latency management
Strong product judgment to scope AI where it earns its place and use deterministic code where appropriate
Evidence of changing how others build through adopted and sustained workflows, harnesses, or practices
Clear written communication
Comfort operating in an async-first, distributed team environment

Benefits

Comp & perks

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
Growth and development opportunities
Equal-opportunity employer
Accommodation support during the interview process