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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI/ML Engineer - Remote - **Company:** Unitedhealth Group Inc - **Location:** Washington, DC, United States (Remote available) - **Experience:** Expert - **Salary:** $120,100.0 - $214,500.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Databases, Continuous Integration, Cursor, Decision Support Systems, Python (Programming Language), Machine Learning, Open Source Technology, Tensorflow, Search Technologies, Google Cloud, Enterprise Software Applications, Cloud Platform System, Chatbots, Pytorch, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Deep Learning, Generative AI, Build Management, Kubernetes, Low Latency, HuggingFace, Machine Learning Operations, GPT, Api Management - **Published:** September 17, 2026 - **Apply:** https://www.dice.com/job-detail/ce979f5c-5535-429c-b62d-b8a628b133fb ## About the Role * 5+ years of experience in machine learning, AI engineering, or applied data science including development of production ML systems * 5+ years of experience developing Python-based ML systems using frameworks such as PyTorch, TensorFlow, or Hugging Face * 3+ years of experience building Generative AI or LLM applications including prompt engineering, model fine tuning, and LLM API integrations * 2+ years of experience designing retrieval augmented generation (RAG) systems and vector search pipelines * 1+ years of experience building agentic AI systems including tool calling, planning frameworks, or multi agent workflows * 1+ years of experience using AI assisted development or 'vibe coding' tools such as Codex, Claude Code, Cursor, Windsurf, or similar tools * Healthcare Experience, * Experience with LLM orchestration frameworks such as LangChain, LlamaIndex, or Semantic Kernel * Experience optimizing LLM latency, cost, and performance in production environments * Experience deploying AI systems on cloud platforms such as AWS, Azure, or Google Cloud Platform * Experience working in regulated environments with responsible AI governance requirements *All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy ## Description As a Senior AI/ML Engineer, you will design and build advanced machine learning and generative AI solutions that power enterprise applications and decision systems. You will work on large language models, retrieval-augmented generation pipelines, and agent-based AI systems while ensuring production-grade reliability, performance, and safety. You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week., * Design and deploy generative AI and NLP solutions using transformer-based architectures for enterprise use cases such as search, summarization, extraction, conversational AI, and decision support * Develop and fine-tune large language model (LLM) applications using commercial and open-source models such as OpenAI, Anthropic/Claude, Gemini, LLaMA, or Mistral * Design and implement retrieval augmented generation (RAG) pipelines including document ingestion, chunking strategies, embedding generation, and vector database integration * Build agentic AI systems including single agent and multi agent workflows capable of tool use, reasoning, planning, and autonomous task execution * Implement evaluation and monitoring frameworks for generative AI systems including hallucination detection, bias monitoring, and human in the loop evaluation * Develop safety and governance controls for AI systems including prompt hardening, policy enforcement, and responsible AI guardrails * Productionize AI/ML pipelines using CI/CD, testing, monitoring, and observability best practices in cloud native environments * Collaborate with product, platform, and data science teams to translate requirements into scalable AI solutions You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in. ## Related Videos - [Livecoding with AI](https://www.wearedevelopers.com/videos/1201-livecoding-with-ai) - [".Net is too slow" was not an option](https://www.wearedevelopers.com/videos/100176-net-is-too-slow-was-not-an-option) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. 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