AI Engineer

This is a fully remote position, open to applicants in United States, +1 more state.

📋 Description

• Develop full-stack features and components for Innovation Crew pilots, which include backend services, REST APIs, data pipeline connectors, and frontend implementations.

• Produce clean, thoroughly documented code intended for seamless handoff to maintenance teams.

• Integrate builds with Snowflake, internal APIs, cloud platforms, and the API Gateway.

• Add agent patterns, tests, traces, and documentation to the Power Agents library.

• Create tool integrations, evaluation harnesses, and observability instrumentation for the AI agent workforce.

• Configure frontier model APIs, agentic frameworks, and MCP server integrations.

• Implement frontend components, link UI layers to backend services, and contribute to the shared component library.

• Facilitate technical scoping by mapping dependencies, exploring unknowns, and estimating effort.

• Develop proof-of-concept implementations and contribute benchmark insights to Technology Radar drafts.

• Deliver an initial feature within the first 30 days, contribute a Power Agents update by day 60, and take ownership of a PoC component by day 90.

⛳️ Requirements

• Fundamental understanding of full-stack engineering across both backend and frontend.

• Capability to create a functioning API, connect it to a data source, and present it through an operational UI.

• Proven experience in building applications utilizing an LLM API.

• Practical comprehension of RAG and tool-calling.

• Familiarity with frontier model developments and AI coding tools.

• Ability to produce clean, well-documented code and learn rapidly.

• Proficiency in Python and/or TypeScript is preferred.

• Experience with LangChain, LangGraph, or comparable agent frameworks is valued.

• Knowledge of Snowflake, BigQuery, or similar cloud data platforms is appreciated.

• Understanding of RAG patterns, vector databases such as pgvector, Pinecone, or Weaviate, and basic evaluation harness design is advantageous.

• Familiarity with observability fundamentals, including traces versus logs and tools like Langfuse or LangSmith.

• Familiarity with JD Power's internal platform or API is considered beneficial.

🏝️ Benefits

• Salary ranging from $115,000–$130,000 USD or $95,000–$115,000 CAD annually.

• Hands-on opportunity to engage with frontier model APIs, agentic frameworks, Power Agents library development, and JD Power’s core data infrastructure.

• Experience in production-proven agentic engineering.

• Chance to contribute code to the Power Agents library utilized by over 400 engineers and knowledge workers.

• Commitment to a diverse workforce and equal employment opportunities.

• Accommodations available during recruitment and selection processes.