Senior AI Developer
Core
Design, build, and operate cloud infrastructure and deployment systems for productionizing LLMs, VLMs, and multi-modal reasoning agents for millions of active users.
Role type
Senior IC cloud infrastructure engineer (LLM/agent ops)
Builds
Production systems for serving LLMs, VLMs, and reasoning agents; validation/evaluation pipelines; telemetry and observability dashboards.
Domain
Healthcare technology + Generative AI infrastructure
Deliverable
production ML models | infrastructure
Required skills
Cloud infrastructure (AWS), ML system deployment (LLMs/VLMs), observability (monitoring/logging/tracing), CI/CD, container orchestration (Kubernetes/ECS)
Preferred skills
Agentic workflows, LLM tooling (LangChain/LangGraph), GPU inference optimization, hosted model APIs (Anthropic/Gemini/Bedrock), workflow orchestration (Temporal/Step Functions), IaC (Terraform)
Technologies
AWS, Kubernetes, Docker, Terraform, LangChain, LangGraph, MLflow, Temporal, Step Functions, Anthropic, Gemini, Bedrock
Responsibilities
Deploy and operate multi-modal models at scale; build validation and evaluation systems; validate and monitor quality in long-tail cases; develop reasoning agent infrastructure; establish telemetry and observability; improve reliability, performance, and cost; adopt and evangelize best practices; ensure security and compliance.
Seniority
Senior, hands-on IC