AI Engineer
Core
Full-stack AI engineering role focused on turning advanced AI architectures into reliable, working products and prototypes.
Role type
Senior IC full-stack AI engineer
Builds
Backend services, APIs, data integrations, frontend components, and agent capabilities for AI applications
Domain
AI engineering, cloud data infrastructure, agentic frameworks
Deliverable
production ML models
Required skills
Full-stack software engineering, LLM application development, RAG pipelines, tool calling, clean code documentation, API design, cloud-native patterns
Preferred skills
Python, TypeScript, LangChain, LangGraph, CrewAI, Snowflake, BigQuery, vector databases (pgvector, Pinecone, Weaviate), AI observability (Langfuse, LangSmith)
Technologies
Python, TypeScript, REST APIs, Snowflake, BigQuery, LangChain, LangGraph, CrewAI, pgvector, Pinecone, Weaviate, Langfuse, LangSmith
Responsibilities
Build full-stack features and components for AI pilots and prototypes; Develop clean, well-documented code for reliable handoff; Integrate AI applications with cloud platforms and data infrastructure; Contribute to an internal AI agent library by implementing reusable patterns; Build and maintain AI agent capabilities including tool integrations and evaluation harnesses; Develop baseline evaluations to verify AI agent behavior; Collaborate on frontend components and shared libraries; Support technical scoping and emerging technology evaluations
Seniority
Mid-to-Senior, hands-on IC