Applied AI Engineer
Core
Build and ship AI-powered features (LLM agents, tool-calling systems) to improve product experience and business outcomes for a personalized health guidance platform.
Role type
Senior Applied AI Engineer (LLM Agents & Production ML)
Builds
AI agents, tool-calling LLM systems, evaluation harnesses, and scalable services for a health guidance product.
Domain
HealthTech / Generative AI / LLMs
Deliverable
production ML models
Required skills
Python, LLMs (prompt engineering, tool/function calling, structured output), Agent frameworks (LangChain/LangGraph), Async Python, HTTP APIs, Streaming protocols (SSE, webhooks), Data validation (Pydantic, JSON Schema), Cloud infrastructure (AWS)
Preferred skills
Observability (Langfuse, OpenTelemetry, Datadog), Infrastructure-as-code (Terraform, CDK), LLM-as-a-judge evaluation
Technologies
Python, LangChain, LangGraph, Langfuse, Pydantic, AWS (Bedrock, ECR, CloudFront, S3, Cognito), Terraform, CDK, SSE, Webhooks
Responsibilities
Build and ship AI agents with tool-calling and structured output; Design evaluation harnesses and quality scoring; Own the full lifecycle from prototype to production monitoring; Optimize reliability, latency, and cost via prompt caching and retry logic; Write tools for agents including API integrations and database search.
Seniority
Senior, hands-on IC