Senior Applied AI Engineer

Company: Veracity Insurance Solutions

Location: Pleasant Grove, UT (Remote)

Salary: $140,000 - $170,000 a year

Type: Full-time

Remote: Yes

Posted: 2026-08-07

About this role

At Veracity, we aim to be a different kind of insurance partner – one that is free from outside investors, venture capital, or the pressures of a corporate parent.

Ours is a culture of empowerment – one that believes in effort, results, and accountability. We believe that transparency fosters trust, trust fosters growth, and that growth drives innovation. Our commitment to rigorous evaluation and relentless execution lead to rapid evolution.

We answer only to the small business owners we serve, and this independence allows us to stay focused on what matters most: helping their businesses thrive by providing expert guidance and best-in-class insurance policies.

We’re growing fast and want you to be a part of it!

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.

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, observa...

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