> Markdown version of [/jobs/ext/1706863-ai-engineer](https://www.wearedevelopers.com/jobs/ext/1706863-ai-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Engineer - **Company:** D. Kent Consulting Group, LLC - **Location:** Springfield, VA, United States (Remote available) - **Salary:** $208,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Software Applications, Microsoft Azure, Cloud Computing, Data Transformation, Python (Programming Language), Machine Learning, Tensorflow, Pytorch, Large Language Models, Deep Learning, Generative AI, Scikit Learn, Information Technology, HuggingFace, Machine Learning Operations - **Published:** July 9, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=cec2e030f1886a67 ## About the Role * Bachelor's or Master's degree in Computer Science, Data Science, AI, or a related field * Proven experience in machine learning, deep learning, or AI engineering * Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or scikit-learn * Experience with NLP, LLMs, or generative AI tools (e.g., OpenAI, Hugging Face) * Familiarity with cloud platforms (AWS, Azure, or GCP) and MLOps practices * Strong analytical and problem-solving skills with attention to detail * Excellent communication skills and ability to present technical concepts to non-technical stakeholders Preferred * Master's degree in a related field * Federal AI strategy, digital transformation, or data modernization experience * Familiarity with Responsible AI and AI governance * Consulting experience supporting government clients ## Description Make an Impact in Federal AI - Without a Full-Time Commitment DKC Group is seeking a seasoned AI SME / AI Systems Engineer to support federal clients as they evaluate, design, and implement practical AI solutions in mission environments. This role is ideal for an experienced AI professional who wants to apply deep technical and federal market expertise in a flexible, half-time role with an expected commitment of 40 hours or less per month. If you understand how to translate mission needs into AI use cases, technical approaches, and implementation strategies and you are comfortable advising in federal environments- we would like to hear from you. Responsibilities: * Design, develop, and deploy machine learning models and AI-powered applications * Collaborate with cross-functional teams to identify and implement AI/ML solutions for client needs * Build and maintain data pipelines, model training workflows, and inference systems * Evaluate and integrate large language models (LLMs), generative AI tools, and emerging AI frameworks * Monitor model performance, conduct testing, and iterate on improvements * Document technical architectures, methodologies, and best practices * Stay current with AI/ML research and translate advancements into practical applications ## Related Videos - [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) - [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [The Software Engineer 2030: From Coder To AI Orchestrator? - Patrick Schnell](https://www.wearedevelopers.com/videos/1825-the-software-engineer-2030-from-coder-to-ai-orchestrator-patrick-schnell) - [How We Built a Machine Learning-Based Recommendation System (And Survived to Tell the Tale)](https://www.wearedevelopers.com/videos/752-how-we-built-a-machine-learning-based-recommendation-system-and-survived-to-tell-the-tale) - [Serverless deployment of (large) NLP models ](https://www.wearedevelopers.com/videos/158-serverless-deployment-of-large-nlp-models) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Best US AI Conferences for CTOs in 2026: Build vs. Buy, Vendor Evaluation, and Peer Intelligence](https://www.wearedevelopers.com/magazine/736-best-us-ai-conferences-for-ctos-in-2026-build-vs-buy-vendor-evaluation-and-peer-intelligence) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)