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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:** $91,700.0 - $163,700.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon S3, Automated Storage and Retrieval Systems, Big Data, Continuous Integration, Data Integrity, Graph Database, Monitoring of Systems, Python (Programming Language), Knowledge-Based Systems, Machine Learning, Natural Language Processing, Search Technologies, Software Engineering, Workflow Management Systems, Feature Engineering, Data Ingestion, Large Language Models, Multi-Agent Systems, Prompt Engineering, Generative AI, AI Platforms, Information Technology, Machine Learning Operations, Virtual Agents, Serverless Computing - **Published:** July 23, 2026 - **Apply:** https://www.dice.com/job-detail/6650b2c4-6b39-4acc-b4da-106a4ecf2289 ## About the Role * Bachelor's or Master's Degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Engineering, or a related technical field * 8+ years of software engineering, AI engineering, or machine learning engineering experience * 5+ years of strong Python development experience supporting AI and data-intensive applications * 4+ years of hands-on experience developing AI/ML solutions, including Generative AI, LLMs, NLP, and traditional machine learning models * 3+ years of experience designing, building, and deploying production-grade LLM applications, RAG pipelines, AI agents, and orchestration workflows * 3+ years of experience with AWS AI and cloud-native services including Bedrock, SageMaker, Lambda, OpenSearch, ECS/EKS, and S3 * 2+ years of experience with vector databases, embeddings, semantic search, and enterprise knowledge retrieval systems * 2+ years of experience implementing MLOps, LLMOps, model monitoring, evaluation frameworks, and AI operationalization practices Preferred Qualifications: * 2+ years of hands-on experience with Agentic AI frameworks such as LangGraph, Semantic Kernel, CrewAI, AutoGen, MCP, or AgentCore * Experience implementing multi-agent architectures and autonomous workflow orchestration * Experience with AI evaluation frameworks, hallucination reduction techniques, model benchmarking, and prompt optimization * Familiarity with Knowledge Graphs, Ontologies, GraphRAG, and enterprise knowledge systems. * Experience building reusable AI platform services supporting multiple use cases * Experience implementing Retrieval-Augmented Generation (RAG), prompt engineering, semantic search, and knowledge retrieval systems *All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy. ## Description * Design, develop, and deploy scalable AI/ML models and automation solutions to solve complex business problems * Build and maintain end-to-end ML pipelines including data ingestion, feature engineering, model training, and deployment * Develop automation frameworks for model training, testing, validation, and monitoring (MLOps) * Collaborate with data science, engineering, product, and business teams to deliver AI-driven solutions * Optimize model performance through continuous evaluation, tuning, and retraining strategies * Ensure scalability, reliability, and governance of AI models including compliance and data integrity * Integrate AI/ML solutions into production systems using CI/CD and cloud platforms * Stay updated with emerging AI/ML technologies and automation best practices to drive innovation 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 - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [WeAreDevelopers LIVE - CSS is DOOMed](https://www.wearedevelopers.com/videos/1838-wearedevelopers-live-css-is-doomed) - [This App Reached 10,000 Users in One Week. 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