AI Engineer at Curie

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.