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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Machine Learning/AI Engineer - **Company:** MIND MOVES LLC - **Location:** Washington, DC, United States (Remote available) - **Experience:** Expert - **Salary:** $166,400.0 - $187,200.0 - **Contract:** Temporary contract - **Skills:** Artificial Intelligence, Microsoft Azure, Bioinformatics, Information Engineering, Extract Transform Load (ETL), Graph Database, Python (Programming Language), Machine Learning, Neo4j, Role-Based Access Control, Standard Sql, Microsoft SharePoint, Software Deployment, Workflow Management Systems, Data Processing, Pytorch, Large Language Models, Prompt Engineering, Model Validation, Backend, Cosmos DB, Graphql, Virtual Agents, Databricks - **Published:** August 26, 2026 - **Apply:** https://arc.dev/remote-jobs/j/redirect/pfdz9p5dg1 ## About the Role * 7+ years professional experience in Data Science, Machine Learning, or AI Engineering * Azure expertise is essential - deep, hands-on experience with Azure AI Foundry, Azure OpenAI Service, Azure Cosmos DB, and the M365 ecosystem (Teams, SharePoint, Copilot); general cloud experience is not sufficient * Production-level RAG implementation - retrieval strategy, relevance ranking, chunking, access-controlled data filtering, and evaluation; this is a non-negotiable core requirement * Strong GenAI/LLM depth - prompt engineering, model selection and strategy, structured outputs, evaluation frameworks, and guardrails * Demonstrated experience designing and orchestrating agentic AI workflows using LangChain, AutoGen, or Microsoft Semantic Kernel * Knowledge graph / graph database experience (Neo4j or Azure Cosmos DB with graph API) - entity modeling, relationship design, query and visualization * Databricks and MCP integration experience * Data engineering and ETL - pipeline design, API integration, backend development * AI governance aligned with NIST AI RMF, NIH/HHS requirements, including human-in-the-loop workflow design and RBAC in federal environments * Proficiency in Python, PyTorch, and SQL * Background or experience in biomedical, bioinformatics, or life sciences preferred * Experience taking solutions from proof of concept through MVP to production deployment * Strong communication skills; ability to lead knowledge sessions with non-technical stakeholders * Eastern Time Zone required, Maryland/Virginia/DC area preferred ## Description You'll collaborate with client leads, business operators, fellow consultants, and the Mind Moves project team-while working closely with world-leading scientists at NIH and Mind Moves. This role offers the chance to: * Make a measurable impact on scientific discovery and public health. * Gain hands-on experience with frontier AI/ML technologies. * Operate at the intersection of health, data, and AI in a creative, mission-driven environment. The contract will include: * Deliver 'knowledge sessions' to teams to familiarize and give working knowledge to teams * Assist in data engineering and preparation tasks to enable teams who may not have engineering resources to utilize their data or new data sources * Rapidly develop proof-of-concept AI prototypes and functional demos to validate use cases, accelerate stakeholder buy-in * Demonstrate iterative value creation across team capabilities * Collaborate with cross-functional teams across federal agencies and supporting partners * Designing solutions with defined requirements * Innovating 'outside the box' while accounting for risk * Articulate the art of the impossible and lead to the edge of the frontier of innovation, This opportunity has an immediate start date. Priority deadline to submit proposals is September 15th with an ideal start date in September, though proposals are accepted on a rolling basis until the position is filled. * The contract bid process will include 2-3 interviews and the invitation to complete a technical exercise. ## Related Videos - [Putting the Graph In GraphQL With The Neo4j GraphQL Library](https://www.wearedevelopers.com/videos/257-putting-the-graph-in-graphql-with-the-neo4j-graphql-library) - [Inside the AI Revolution: How Microsoft is Empowering the World to Achieve More](https://www.wearedevelopers.com/videos/869-inside-the-ai-revolution-how-microsoft-is-empowering-the-world-to-achieve-more) - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [Meet Your New BFF: Backend to Frontend without the Duct Tape](https://www.wearedevelopers.com/videos/682-meet-your-new-bff-backend-to-frontend-without-the-duct-tape) - [Agentic AI - From Theory to Practice: Developing Multi-Agent AI Systems on Azure](https://www.wearedevelopers.com/videos/1532-agentic-ai-from-theory-to-practice-developing-multi-agent-ai-systems-on-azure) - [Nest.js - TypeScript in the backend can also be clean](https://www.wearedevelopers.com/videos/1033-nest-js-typescript-in-the-backend-can-also-be-clean) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Everything a Developer Needs to Know About MCP with Neo4j](https://www.wearedevelopers.com/magazine/604-everything-a-developer-needs-to-know-about-mcp-with-neo4j) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it)