# AI Engineer (CCC Auto / Agentic) at Evolutioniq

- Company: Evolutioniq
- What the company does: EvolutionIQ is the leading insurance claims guidance platform, providing faster recoveries and smarter decisions for carriers. Backed by First Round and ICONIQ.
- Company website: https://evolutioniq.com/
- Type: Startups (AI role)
- Level: Mid level
- Location: Chicago, IL or Remote
- Work setup: Remote
- Pay: $170K to $195K base salary per year (USD)
- Posted: 2026-11-05
- Apply by: 2026-12-20
- Apply: https://job-boards.greenhouse.io/evolutioniq/jobs/6242824004?utm_source=1752vc&utm_medium=careers
- Page: https://www.1752.vc/careers/jobs/evolutioniq-ai-engineer-ccc-auto-agentic/

## About the role

As an AI Engineer you will build and ship LLM-powered features and agentic workflows for our customers. These features automate the routine parts of a claim and guide customers on the rest, so they have to earn that trust with measured accuracy, not a convincing demo. Agents run as steps inside deterministic workflows, and privacy and security are design baselines, not review gates. Agentic coding tools are how you move fast. What you add is what they are worst at: system design, security, and hard debugging. Found on 1752vc Careers, the job board for startup and VC roles.

## What they're looking for

- 3+ years of professional software engineering experience, including at least one LLM-powered feature you shipped and then operated in production
- Python and TypeScript: typed, tested, async code in both, and real depth in one
- Evals you have designed for LLM output, plus guardrails you have shipped
- A clear account of how you constrain an agentic coding tool's context and verify its output, from daily use of Claude Code, Cursor, GitHub Copilot, or similar on production work
- Pipelines that blend LLMs with semantic search and classical NLP: structured output, tool calling, embedding-based retrieval, and a case where a classical technique beat an LLM
- Services built on message- or event-driven architectures, including long-running workflows with retries, idempotent handlers, and event-sourced state, plus an LLM or agent step you ran inside one

Tags: Engineering

Source: 1752vc Careers, https://www.1752.vc/careers/jobs/evolutioniq-ai-engineer-ccc-auto-agentic/