Senior ML / AI Engineer

📋 Description

• Design, build, and deploy production-grade agentic AI systems using dynamic tool calling
• Develop and maintain RAG pipelines covering document ingestion, chunking, embeddings, hybrid
• Implement strict access controls across member and client data while protecting AI systems against
• Operate self-hosted LLM and VLM inference services on AWS GPU infrastructure, optimizing
• Own the MLOps and AI governance layer, including offline evaluation frameworks, golden datasets
• Build reliable AI services with durable state, circuit breakers, retries, fail-closed defaults

🎯 Requirements

• 5+ years of experience building and deploying ML/AI systems in production environments, with
• Strong Python expertise, including typed, tested, production-grade development and solid software
• Comfortable working across asynchronous web services, data layers, cloud infrastructure, and
• Practical expertise with LLM application patterns including prompting, structured/function calling
• Strong understanding of AI quality and risk management, including grounding, hallucination
• Hands-on AWS or equivalent cloud and MLOps experience, including Kubernetes, containers, Terraform

🎁 Benefits

• Base salary range of $150,000–$210,000, depending on experience.
• 100% employer-paid medical, dental, and vision coverage for employees and dependents.
• 401(k) retirement plan with company matching contributions of up to 4%.
• Opportunity to work on high-impact AI systems in healthcare where reliability, governance, and
• Hands-on exposure to advanced technologies including LLMs, VLMs, agentic AI, RAG, GPU inference
• Opportunity to build foundational AI infrastructure used across multiple initiatives rather than