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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Reinforcement Learning AI Engineer - **Company:** Booz Allen Hamilton Inc. - **Location:** McLean, VA, United States - **Experience:** Experienced - **Salary:** $99,000.0 - $225,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Artificial Neural Networks, C++ (Programming Language), Cloud Computing, Nvidia CUDA, Software Design Patterns, Python (Programming Language), Machine Learning, Performance Tuning, Tensorflow, Software Construction, Software Engineering, Systems Architecture, Reinforcement Learning, Pytorch, Gpu Programming, SC Clearance, Kubernetes - **Published:** July 23, 2026 - **Apply:** https://justjobs.com/main/sendform/8/8/28176/1/17679442?backUrl=%2Fcareer%2F17679442%2FReinforcement-Learning-Ai-Engineer-Virginia-Mclean ## About the Role * 3+ years of experience developing and training RL agents * Experience with AI, data science, ML engineering, or software engineering * Experience with Gym or PettingZoo interfaces * Experience with ML frameworks such as PyTorch, TensorFlow, or JAX * Experience developing technical solutions using Rust, Python, or C++ * Knowledge of RL and artificial neural networks * Ability to travel up to 25% of the time * Secret clearance * Bachelor's degree in a CS, AI, or Engineering field Nice If You Have: * Experience applying RL to autonomy, control systems, or mission-scale * Experience with MARL * Experience with AFSIM or other high-fidelity simulation environments * Experience with embedded systems programming in Rust, C, or C++ * Experience in GPU programming, including CUDA or RAPID * Experience developing in-space solutions * Knowledge of modern software design patterns, including microservice design and orchestration in Kubernetes deployment * Master's degree in CS, AI, Engineering, or a related field ## Description Are you an innovative and experienced artificial intelligence (AI) developer specializing in reinforcement learning? Utilize your expertise in AI, data science, and machine learning (ML) engineering to train, test, deploy, and maintain models that learn from data to drive real-world mission critical impact.You will collaborate with dynamic teams to translate reinforcement learning research into operational capability and production-grade code, bringing significant technological advancements that drive mission success. You'll join a growing community of ML engineers focused on delivering products and solutions to our customers' most challenging problems.You'll collaborate with a team of dedicated space, military, intelligence, engineering, and AI professionals to deliver cutting-edge solutions to solve issues of national importance. What You'll Work On: * Design, implement, and train reinforcement learning (RL) and multi-agent reinforcement learning (MARL) algorithms for complex decision-making problems. * Develop scalable training pipelines using Python and modern ML frameworks. * Build and evaluate agents in simulated environments using Gym or PettingZoo, high-fidelity simulators, or custom environments. * Apply RL techniques such as policy optimization, value-based learning, model-based RL, and imitation learning. * Collaborate with domain experts to define reward structures, constraints, and evaluation metrics aligned with mission objectives. * Implement distributed training workflows leveraging cloud compute, containerization, and orchestration technologies. * Transition trained models into production systems, following strong software engineering best practices. * Contribute to system architecture and performance optimization in Python with opportunities to extend into C++ or Rust for high-performance components. ## Related Videos - [Agentic employees in world's most downloaded FinTech app](https://www.wearedevelopers.com/videos/100123-agentic-employees-in-world-s-most-downloaded-fintech-app) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. 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