Senior AI Engineer

This is a fully remote position, open to applicants in Illinois.

📋 Description

• Take full ownership of the end-to-end delivery of LLM-powered systems utilizing Python and TypeScript, addressing ambiguous customer challenges from initial stages to production operation.

• Collaborate with product managers and data scientists to define and scope customer issues.

• Establish evaluations and guardrails, set release gates, production signals, and conduct historical claims simulations.

• Enhance team practices for agentic coding tools, which include specifications, instruction files, hooks, permission policies, and code review standards.

• Develop NLP pipelines that transform unstructured claims data into structured data actionable for customers.

• Construct and maintain robust, event-driven, multi-tenant systems with agents integrated as steps in deterministic workflows.

• Design failure modes, replay semantics, and cost profiles.

• Manage tracing and auditing to ensure that model calls and agent steps can be accurately reconstructed and sourced.

• Set privacy and security standards, covering tenant isolation, least-privilege access, redaction, retention, and controls over model-provider data.

• Write complex system design documents and review the designs and code of other engineers.

• Provide mentorship to engineers within the team.

• Engage in a shared on-call rotation.

• Deliver systems where model changes are evaluated and whose accuracy can be clearly demonstrated to customers.

⛳️ Requirements

• At least 6 years of professional software engineering experience, including the architecture and deployment of an LLM-powered system to external customers, with at least one model or prompt migration.

• Proficient in Python and TypeScript, with experience in establishing team conventions for asynchronous models, typing strictness, and testing strategies, as well as profiling and resolving performance issues.

• Proven experience in establishing evaluation and guardrail strategies for a product area, including human approval requirements and integrating production corrections back into evaluations.

• Daily practical use of agentic coding tools like Claude Code, Cursor, or GitHub Copilot, focusing on context constraints and output verification.

• Experience in designing pipelines that integrate LLMs, semantic search, and classical NLP methodologies.

• Familiarity with building durable, event-driven systems that orchestrate deterministic processes around non-deterministic model steps, which includes compensatory actions, idempotency, backpressure, and event-sourced replay.

• Skilled in data modeling and development across various database types, including relational, document, and graph databases such as PostgreSQL, MongoDB, and Neo4j.

• Experience in architecting and managing systems on Azure or AWS, including CI/CD and infrastructure as code practices.

• Hands-on familiarity with a durable workflow engine, such as Temporal or the Durable Task Scheduler.

• Experience in authoring technical design documents for systems involving multiple teams.

• Ability to communicate clearly with both technical and non-technical audiences.

• Preferred experience with React and TypeScript.

• Familiarity with agent frameworks, including LangGraph, PydanticAI, Microsoft Agent Framework, MCP, A2A, command-line tools, and microservices is an advantage.

• Experience with LLM observability and evaluation tools such as LangSmith, Arize, or Braintrust, as well as OpenTelemetry-based tracing is preferred.

• Experience in designing A/B tests for AI features is an added advantage.

• Exposure to the insurance, claims, or automotive repair industries is preferred.

• Participation in a shared on-call rotation is mandatory.

• A video interview is required; candidates must not use generative AI or automated assistance during interviews unless explicitly permitted.

🏝️ 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