AI Engineer, CCC Auto, Agentic

Job not on LinkedIn

🔥 2 minutes ago

🌽 Illinois – Remote

🌽 Illinois – Remote

💵 $170k - $195k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 6%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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EvolutionIQ

WebsiteLinkedInAll Job Openings

51 - 200 employees

🏥 Healthcare

💼 Consulting

📦 Logistics

Healthcare • Consulting • Logistics

EvolutionIQ is a cutting-edge technology company specializing in AI-powered claims guidance to improve the efficiency of insurance claims processing. The company focuses on simplifying complex claims data into actionable insights, enabling claims professionals to provide higher quality service with less effort and more personalized support. EvolutionIQ's solutions are specifically designed to address challenges in areas such as Group & Individual Disability, Workers' Compensation, and Income Protection, enhancing claimant experience, reducing costs, and optimizing process efficiency. The company prides itself on harnessing human-centric AI to drive better outcomes in claims management.

📋 Description

• Build and ship LLM-powered features and agentic workflows for insurance customers • Scope problems with product managers and data scientists, deliver features through production, and define success metrics • Write evaluations, guardrails, and feedback loops with explicit token and latency budgets • Review agent-generated code for correctness, security, and design issues • Maintain and extend NLP pipelines converting unstructured claim data into structured customer-actionable data • Build and operate durable event-driven services with deterministic workflows, retries, checkpointed model outputs, and idempotency • Trace model calls and agent steps for reconstruction, auditing, source-document citations, and alerting • Model and query claims data across relational, document, and graph stores • Design tenant isolation, least-privilege agent/tool access, and model-provider data controls • Write technical design documents and secure team feedback before significant changes • Participate in a shared on-call rotation • Own features end to end from concept through production

🎯 Requirements

• 3+ years of professional software engineering experience, including at least one LLM-powered feature shipped and operated in production • Python and TypeScript: typed, tested, async code in both, with real depth in one • Designed LLM output evaluations and shipped guardrails • Daily production use of Claude Code, Cursor, GitHub Copilot, or similar agentic coding tools, with ability to constrain context and verify output • Experience blending LLMs with semantic search and classical NLP, including structured output, tool calling, embedding-based retrieval, and a case where a classical technique beat an LLM • Experience with message- or event-driven architectures, long-running workflows, retries, idempotent handlers, event-sourced state, and an LLM or agent step • Data modeling and development across relational, document, and graph databases such as PostgreSQL, MongoDB, and Neo4j • Backend services operated on Azure or AWS, with exposure to Temporal or Durable Task Scheduler • Experience writing technical design documents and obtaining team feedback and buy-in before implementation • Clear technical and non-technical writing and discussion skills; able to give and receive code review

🏖️ Benefits

• 401K Match • Paid time off • Annual Incentive Plan Performance Bonus • Comprehensive health insurance • Adoption Assistance • Tuition Reimbursement • Wellness Programs • Stock Purchase Plan options • Employee Resource Groups

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