# Senior 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: Senior
- Location: Chicago, IL or Remote
- Work setup: Remote
- Pay: $180K to $225K base salary per year (USD)
- Posted: 2026-11-05
- Apply by: 2026-12-20
- Apply: https://job-boards.greenhouse.io/evolutioniq/jobs/6242825004?utm_source=1752vc&utm_medium=careers
- Page: https://www.1752.vc/careers/jobs/evolutioniq-senior-ai-engineer-ccc-auto-agentic/

## About the role

As a Senior AI Engineer you will own LLM-powered systems and agentic workflows for our customers. These systems automate the routine parts of a claim and guide customers on the rest, so they have to earn that trust with a measured accuracy you can defend as models change and usage grows. 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. Found on 1752vc Careers, the job board for startup and VC roles.

## What they're looking for

- 6+ years of professional software engineering experience, including an LLM-powered system you architected, shipped to external customers, and carried through at least one model or prompt migration
- Python and TypeScript at the level of setting a team's conventions: the async model, typing strictness, and test strategy for a shared codebase, plus a performance problem you profiled and fixed
- An evals and guardrails strategy you set for a product area others built in: where human approval was required, and how production corrections re-entered the evals
- 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, plus changes you turned back, and why
- Pipelines you designed that blend LLMs, semantic search, and classical NLP, including a retrieval design you can defend and a case where a classical technique beat an LLM on cost, latency, or reliability
- Durable, event-driven systems you designed with deterministic orchestration around non-deterministic model steps: compensating actions, idempotency, backpressure, and event-sourced replay

Tags: Engineering

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