AI Full Stack Developer, Mid

Booz Allen Hamilton • McLean, VA

2d • $69,400 - $158,000 • Hybrid

About The Position

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.

Requirements

• 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 GCP 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.
• U.S. citizenship is required due to the nature of work performed within the facility.

Nice To Haves

• 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.

Responsibilities

• 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.

Benefits

• Health, life, disability, financial, and retirement benefits.
• Paid leave.
• Professional development.
• Tuition assistance.
• Work-life programs.
• Dependent care.
• Recognition awards for exceptional performance and demonstration of company values.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level