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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Mid AI Full Stack Developer - **Company:** Booz Allen Hamilton Inc. - **Location:** Fairfax, VA, United States - **Experience:** Experienced - **Salary:** $69,400 - $158,000 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), JavaScript (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Automation of Tests, Microsoft Azure, Cloud Computing, Cloud Engineering, Databases, Continuous Integration, Relational Databases, DevOps, Distributed Systems, Python (Programming Language), Machine Learning, NoSQL, OpenCV, OpenAI, Cloud Services, Tensorflow, Distributed Caching, Software Engineering, Systems Integration, TypeScript, Management of Software Versions, Enterprise Application Integration, Pinecone, Feature Store, Data Processing, Google Cloud, Pytorch, LangChain, ReactJS, Flask (Web Framework), Model Validation, Backend, Fastapi, Vue.js, AngularJS, Scikit Learn, Information Technology, CrewAI, Weaviate, AutoGen, Graphql, Machine Learning Operations, FAISS, Front End Software Development, Data Pipelines, Human in the Loop, Docker, Microservices - **Published:** November 11, 2026 - **Apply:** https://www.dice.com/job-detail/bf9c9145-57ea-4aa0-8e5f-c8c1e38a3733 ## About the Role * 6+ years of experience in full-stack software development * 3+ years of experience with AI/ML engineering * Experience in Python and developing backend services, APIs, or data-processing applications leveraging Java * Experience with front end development using JavaScript or TypeScript and frameworks such as React, Angular, or Vue * Experience designing and integrating REST or GraphQL APIs, microservices, and enterprise application integration * Experience with machine learning frameworks such as TensorFlow, PyTorch, LangChain, OpenCV, OpenAI, AutoGen, CrewAI, or Scikit-learn * Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform and CI/CD and MLOps practices * Experience working with relational databases and with NoSQL, vector database, or caching technologies * Public Trust * Bachelor's degree in a Computer Science field Nice If You Have: * Experience with feature stores, model registries, or model-serving platforms * Experience with containerization and orchestration technologies such as Docker and Kubernetes * Experience with cloud-native application development and distributed systems * Experience implementing OpenTelemetry or similar observability solutions * Experience working in federal or other highly regulated environments * Knowledge of vector databases such as Pinecone, Weaviate, FAISS, or similar technologies * Knowledge of responsible AI frameworks, ethics, security, privacy, and compliance * Ability to explore and learn new technologies * Possession of excellent collaboration and problem-solving skills Vetting: Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client; Public Trust determination is required. Skills Assessment As part of Booz Allen's skills first hiring process, candidates must complete the required skills assessment to ensure they meet the Basic Qualifications for this role. Candidates must complete the assessment and meet the minimum proficiency threshold to continue in the hiring process. ## Description AI Full Stack Developer, Mid The Opportunity: As an AI Full Stack Developer, you'll help design, develop, and deploy enterprise AI/ML solutions across the full application stack. You'll work with data scientists, software engineers, DevOps teams, and stakeholders to build user-facing applications, productionize machine learning models, optimize pipelines, and implement responsible AI practices. This is an opportunity to develop scalable AI/ML applications using modern frontend, backend, cloud, data, and machine learning technologies. You'll contribute to secure, compliant, and maintainable solutions that support experimentation, model deployment, monitoring, and enterprise operations. Due to the nature of work performed within this facility, U.S. citizenship is required. What You'll Work On: * Design, develop, test, and maintain full-stack AI/ML applications and services. * Build frontend interfaces and user workflows for interacting with AI/ML capabilities. * Develop backend services, APIs, and integrations using Python and frameworks such as FastAPI, Flask, or similar technologies. * Build and manage AI/ML pipelines for experimentation, training, evaluation, and deployment. * Operationalize machine learning models in production environments, including containers, APIs, and cloud services. * Support the development of a Model Control Plane (MCP) for model registry, deployment, versioning, and monitoring. * Integrate applications with relational databases, vector databases, feature stores, and distributed caching services. * Implement authentication, authorization, secure API practices, and data protection safeguards. * Develop automated tests across frontend, backend, API, data pipeline, and ML components. * Apply responsible AI principles, including human-in-the-loop workflows, content moderation, explainability, and data privacy safeguards. * Collaborate cross-functionally to ensure secure, compliant, maintainable, and scalable AI/ML deployments.