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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Engineer - **Company:** Booz Allen Hamilton Inc. - **Location:** Arlington, VA, United States - **Experience:** Experienced - **Salary:** $77,600.0 - $176,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Code Review, Databases, Continuous Integration, Information Engineering, Cursor (Graphical User Interface Elements), Python (Programming Language), Machine Learning, Open Source Technology, Azure Machine Learning, Software Engineering, Large Language Models, Prompt Engineering, Backend, Git, SC Clearance, Containerization, Information Technology, Virtual Agents, Restful APIs, Docker - **Published:** June 18, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=fc38113e5c52166c ## About the Role Do you have experience in Software engineering?, * 2+ years of experience with machine learning engineering in software engineering or data engineering roles * Experience building AI-enabled features or prototypes using LLMs, embeddings, or 3rd party APIs including OpenAI or Anthropic * Experience with basic prompt engineering concepts and use of LLM SDKs or frameworks including LangChain or LlamaIndex * Experience with application containerization, CI/CD deployments, and Python * Experience with cloud platforms including AWS, Azure, or GCP and their AI or ML services * Experience with a vector database or search framework including OpenSearch or Weaviate * Experience developing backend services and building or consuming RESTful APIs * Ability to follow code review practices, document work, and maintain clean and reusable code * Ability to obtain a Secret clearance * Bachelor's degree Nice If You Have: * Experience with AI-assisted development such as Cursor, Cline, Windsurf, or Claude Code * Experience with AI agent frameworks including LangChain or LlamaIndex * Experience with open-source AI projects like Ollama or personal projects involving generative AI * Experience with Git, CI/CD workflows, or containerization tools like Docker * Bachelor's degree in Computer Science or Engineering preferred; Master's degree in Computer Science or Engineering a plus ## Description As a programmer, you know that machine learning is critical to understanding and processing massive datasets. Your ability to conduct statistical analyses on business processes using ML techniques makes you an integral part of delivering a customer-focused solution. We need your technical knowledge and desire to problem-solve to support to help architect, build, and deploy intelligent, agentic solutions that work across legacy infrastructure, modern platforms, and various stakeholder needs. As a machine learning engineer on our Global Defense team, you'll train, test, deploy, and maintain models that learn from data. In this role, you'll contribute to the direction of mission-critical solutions by applying best-fit ML algorithms and technologies. You'll grow within a talented team of machine learning engineers across the company and collaborate with senior architects, platform leads, and business stakeholders to deliver world-class solutions to solve meaningful problems across enterprise and mission environments. You'll gain exposure to next-generation tooling, including LLMs, RAG pipelines, and AI agents, while contributing to high-impact efforts that demand both technical skill and strategic insight. Your skills and technical experience will help your clients navigate the landscape of ML algorithms, tools, and frameworks. Work with us to solve real-world challenges and define ML strategy for Global Defense. ## Related Videos - [Hiring AI Native Talents](https://www.wearedevelopers.com/videos/100268-hiring-ai-native-talents) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [AI Killed DevOps... What Now? - Lee Faus](https://www.wearedevelopers.com/videos/1759-ai-killed-devops-what-now-lee-faus) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Got AI ideas but no money? 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