AI Engineer

AI Engineer

Curie

Chicago, Illinois (Remote/Telecommute)

Salary: $150,000 - $225,000 annually + Equity

About Curie

Curie operates as a telehealth platform combining clinical expertise with AI to deliver personalized, accessible care. The team includes founders, clinicians, and engineers from Stanford, Harvard, UCLA, Berkeley, and AWS. The company is well-funded and growing aggressively.

The Role

The AI Engineer position involves designing and building AI systems for Curie's clinical platform. Responsibilities span Python and Go service layers, from patient intake reasoning through retrieval-augmented generation for treatment guidance.

Key Responsibilities

Agentic Clinical Workflows

• Design multi-step AI agent pipelines for patient intake and medical history synthesis
• Build orchestration patterns for managed, observable ML workflows on cloud infrastructure
• Manage session and memory for long-running clinical agents with safety and auditability focus

Retrieval & Medical Knowledge Systems

• Build and optimize RAG pipelines grounding outputs in medical guidelines and protocols
• Improve retrieval accuracy, citation traceability, and relevance ranking
• Evaluate retrieval quality using structured benchmarks

Clinical Data Infrastructure

• Extend Python services handling structured clinical data and LLM integrations
• Build data pipelines for ingesting and normalizing health data from EHR systems
• Design HIPAA-compliant systems for data handling, model I/O, and audit logging

Observability & Safety

• Instrument workflows with tracing, logging, and evaluation hooks for compliance visibility
• Build validation layers ensuring clinical outputs meet safety thresholds
• Monitor failure rates, latency, and model drift in production systems

Required Qualifications

• 5+ years software engineering experience with production AI/ML systems
• Strong Python proficiency with async services and modern tooling (uv, Pyright)
• Familiarity with PyTorch, TensorFlow, or Hugging Face Transformers
• Hands-on LLM production experience (OpenAI, Anthropic, Google APIs; LLaMA, Gemma)
• RAG pipeline and vector search experience (LangChain, LlamaIndex, or custom implementations)
• Knowledge of agentic AI patterns and orchestration frameworks
• Cross-service comfort navigating Go backends, gRPC interfaces, and cloud infrastructure
• Strong system design intuition balancing correctness, observability, and performance
• Healthcare curiosity and commitment to safe, explainable clinical AI

Bonus Qualifications

• Cloud ML platform experience (GCP Vertex AI, AWS SageMaker, Azure ML)
• Self-hosted LLM inference (vLLM, Ollama, TGI, GGUF)
• Fine-tuning/distillation expertise (LoRA, QLoRA, RLHF, DPO)
• Model evaluation frameworks (RAGAS, DeepEval) and observability tools (Langfuse, LangSmith)
• Healthcare data standards (FHIR, HL7) or EHR integration experience
• Medical AI safety, bias detection, or clinical validation background
• PostgreSQL expertise (JSONB, pgvector), sqlc, or gRPC/Connect-RPC
• Startup founding or early-stage engineering experience
• Published healthcare AI or clinical NLP work

Company Culture

Small, senior team with high ownership and pragmatism over perfection. AI coding tools are encouraged, and shipping iteratively is valued.