AI Engineer

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

📋 Description

• Develop and deliver features powered by LLM and agent-based workflows for clients.

• Streamline routine aspects of insurance claims and assist customers through the remaining processes.

• Collaborate with product managers and data scientists to define problems during production deployment.

• Establish and monitor feature metrics, token budgets, and latency targets.

• Create evaluations, guardrails, and feedback mechanisms for reliable AI features.

• Assess the output of agentic coding tools for accuracy, security, and design concerns.

• Enhance and maintain NLP pipelines that transform unstructured claim data into structured formats.

• Design and manage resilient event-driven services with agents integrated into deterministic workflows.

• Utilize checkpointed model outputs to ensure retries do not trigger already completed LLM processes.

• Track model calls and agent actions for reconstruction, auditing, source citations, and alerting.

• Model and query claims data across various storage systems, including relational, document, and graph databases.

• Develop tenant isolation protocols, least-privilege access for agents, and controls for data-sharing among models.

• Compose technical design documents and gather feedback and consensus from the team.

• Engage in a collective on-call rotation.

⛳️ Requirements

• A minimum of 3 years of professional software engineering experience, including at least one LLM-powered feature successfully deployed and maintained in production.

• Proficiency in Python and TypeScript: capable of writing typed, tested, and asynchronous code in both languages, with significant expertise in one.

• Experience in designing evaluations specifically for LLM outputs, along with the implementation of effective guardrails.

• Daily hands-on experience with agentic coding tools like Claude Code, Cursor, GitHub Copilot, or similar, including context management and output verification.

• Background in integrating LLMs with semantic search and traditional NLP, focusing on structured outputs, tool invocation, embedding-based retrieval, and utilizing classical techniques when suitable.

• Knowledge of message-driven or event-driven architectures, handling long-running workflows, retries, idempotent processes, and managing LLM or agent steps.

• Proficient in data modeling and development across relational, document, and graph databases such as PostgreSQL, MongoDB, and Neo4j.

• Experience in building and managing backend services on platforms like Azure or AWS.

• Familiarity with Temporal or Durable Task Scheduler.

• Capability to draft technical design documents to secure team feedback and approval prior to implementation.

• Strong communication skills for both technical and non-technical audiences, along with the ability to provide and receive code reviews.

• Preference for candidates with React and TypeScript experience as an additional asset.

• Knowledge of CI/CD practices and infrastructure as code tools, such as Terraform or Bicep.

• Experience with agent frameworks, including LangGraph or Microsoft Agent Framework, as well as MCP, A2A, command-line tools, or microservices.

• Familiarity with LLM observability and evaluation tools like LangSmith, Arize, Braintrust, and tracing based on OpenTelemetry.

• Experience in designing A/B tests for AI features or conducting what-if simulations.

• Exposure to the insurance, claims, or automotive repair sectors.

🏝️ 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