Sr AI/ML Engineer - Hybrid in MN or DC - Remote elsewhere

Role

Senior AI/ML Engineer responsible for designing and building production-grade generative AI, NLP, and large language model (LLM) solutions to support enterprise healthcare applications. Work includes LLM fine-tuning, retrieval-augmented generation (RAG), agentic systems, and implementing safety, monitoring, and governance for deployed systems.

Key Responsibilities

• Design and deploy transformer-based generative AI and NLP solutions for search, summarization, extraction, conversational AI, and decision support.
• Develop and fine-tune LLM applications using commercial and open-source models and APIs.
• Design and implement RAG pipelines: document ingestion, chunking, embedding generation, and vector database integration.
• Build agentic AI systems (single- and multi-agent) with tool use, reasoning, planning, and autonomous task execution.
• Implement evaluation and monitoring frameworks, including hallucination detection, bias monitoring, and human-in-the-loop evaluation.
• Develop safety and governance controls: prompt hardening, policy enforcement, and responsible AI guardrails.
• Productionize AI/ML pipelines with CI/CD, testing, monitoring, and observability in cloud-native environments.
• Collaborate with product, platform, and data science teams to translate requirements into scalable, reliable AI solutions.

Requirements

• 5+ years experience in machine learning, AI engineering, or applied data science with production ML systems.
• 5+ years building Python-based ML systems using frameworks such as PyTorch, TensorFlow, or Hugging Face.
• 3+ years building Generative AI or LLM applications, including prompt engineering, model fine-tuning, and API integrations.
• 2+ years designing RAG systems and vector search pipelines.
• 1+ year building agentic AI systems (tool-calling, planning frameworks, multi-agent workflows).
• 1+ year using AI-assisted development / “vibe coding” tools (examples: Codex, Claude Code, Cursor, Windsurf).

Preferred Qualifications

• Experience with LLM orchestration frameworks such as LangChain, LlamaIndex, or Semantic Kernel.
• Experience optimizing LLM latency, cost, and production performance.
• Experience deploying AI systems on AWS, Azure, or GCP.
• Experience working in regulated environments with responsible AI governance requirements.

Location & Remote Work

• Flexibility to work remotely from anywhere within the U.S.; employees hired in Minneapolis or Washington, D.C. are required to work in the office a minimum of four days per week.
• All remote employees must adhere to the company’s Telecommuter Policy.

Compensation & Benefits

• Salary range listed: $91,700 to $163,700 annually (based on full-time employment).
• Benefits include a comprehensive benefits package, incentive and recognition programs, equity stock purchase, and 401(k) contribution.