Function Health · 2 weeks ago
Senior AI Engineer, Agentic Systems
Function Health is dedicated to empowering individuals to live healthier lives through innovative technology. The Senior AI Engineer will be responsible for designing, shipping, and scaling production-grade multi-agent systems, integrating LLMs and multimodal models into workflows, and ensuring system reliability and performance.
Health CareHealth DiagnosticsMedicalPersonal Health
Responsibilities
Architect and build stateful, graph-based agent workflows with tool use, planning, and memory
Integrate LLMs and multimodal models via structured I/O (JSON Schema, Pydantic validators) and function/tool calling
Build high-reliability APIs and streaming services for real-time inference, speech, and vision
Own production readiness: tracing, logging, metrics, rate limiting, circuit breakers, and SLOs
Stand up eval pipelines: offline golden sets, LLM-as-judge with human rubrics, online A/B, and regression tests in CI
Implement retrieval and memory: hybrid search, vector and graph retrieval, semantic caches, and long-horizon context
Optimize cost/latency: model routing, prompt and tool selection, quantization, and KV cache/prefill strategies
Lead cloud-native deployments on Kubernetes with GPU autoscaling, canary/shadow releases, and feature flags
Partner cross-functionally to translate research into robust production systems and iterate quickly behind evaluation gates
Mentor engineers through code reviews, design docs, and architecture decisions
Qualification
Required
2+ years building agentic AI systems; 4+ years building production backends or ML systems in Python, Go, or similar
Fluency with agentic orchestration (e.g., LangGraph, PydanticAI, DSPy, LlamaIndex) and tool/function calling
Experience integrating frontier LLMs and multimodal models via managed APIs or self-hosted serving
Deep understanding of model serving and inference optimization (vLLM/Triton/TGI/SGLang, batching, KV cache reuse)
Strong with API design and backend frameworks (FastAPI, Flask) and event-driven architectures
Data systems expertise with PostgreSQL and Redis, including caching, token streaming, and throughput tuning
Retrieval and memory: vector databases (pgvector, Pinecone, Weaviate, Milvus), hybrid search, and graph/knowledge storage
Production evals: LLM-as-judge, human-in-the-loop, rubric design, and CI-integrated regression tests
Observability and SRE: OpenTelemetry traces, metrics, structured logs, SLOs, dashboards, and on-call triage
Cloud-native delivery: Kubernetes, Terraform, Docker, GPU scheduling/autoscaling on AWS or GCP
CI/CD proficiency with GitHub Actions and test automation for prompts, tools, and agents
Clear, concise communication and high ownership in fast-paced environments
Preferred
Real-time multimodal systems: streaming ASR, low-latency TTS, WebRTC, and vision pipelines
Post-training/fine-tuning: DPO/ORPO, RLHF, preference data generation, and safety alignment
RAG expertise beyond basics: Graph RAG, multi-hop retrieval, rerankers, query planning, and freshness policies
Safety and governance: policy-as-code, red-teaming, PII handling, audit logs, and role-based tool authorization
Regulated data experience (HIPAA, SOC 2, GDPR) and data residency controls
Personalization at inference time, long-term memory agents, session state, and episodic memory stores
Experience with consumer-scale AI apps, high-traffic systems, or on-device/edge acceleration (WebGPU)
Company
Function Health
Function Health is a health platform offering lab tests to help individuals monitor their health.
Funding
Current Stage
Growth StageTotal Funding
$354MKey Investors
RedpointAndreessen HorowitzPari Passu Venture Partners
2025-11-19Series B· $298M
2024-06-25Series A· $53M
2023-12-31Seed
Recent News
Longevity.Technology
2026-01-14
2026-01-13
Company data provided by crunchbase