Senior AI Engineer (*3-Year LTE)
Core
Designing and building modern AI systems agents, retrieval pipelines, evaluation harnesses, and backend services for global health and development policy.
Role type
Senior generalist AI engineer (agentic systems & backend)
Builds
Agentic AI systems, retrieval pipelines, evaluation harnesses, scalable backend services, and data workflows.
Domain
Global health, infectious disease modeling, public policy, cloud infrastructure.
Deliverable
production ML models | product features | infrastructure
Required skills
Python, LLM-powered application development (RAG, agentic workflows, tool use), backend API design, cloud data pipelines, AI evaluation & observability, DevOps practices, architectural tradeoff analysis.
Preferred skills
Vector databases, knowledge graphs, model fine-tuning/distillation, scientific/public health datasets, open-source AI community engagement, lightweight demo tools (Streamlit/Gradio).
Technologies
Azure (AI Foundry, OpenAI, Search, Databricks), Hugging Face, PyTorch, Docker, Git, CI/CD.
Responsibilities
Design and build agentic AI systems with multi-step workflows and autonomous task orchestration; build and operate retrieval systems with embeddings and vector search; design AI evaluation pipelines and benchmarks; architect and maintain scalable backend services and APIs; make senior-level architectural calls on model choice and infrastructure; develop data pipelines leveraging Azure and Hugging Face; harden prototypes into production with tests and observability; collaborate with researchers to translate domain problems into shippable systems.
Seniority
Senior, hands-on IC with mentorship responsibilities.
