AI Full Stack Developer, Mid
Booz Allen Hamilton2 days ago
Base Salary
$69k - $158k/yr
Responsibilities
- Design, develop, test, and maintain full-stack AI/ML applications and services.
- Build frontend interfaces and user workflows for AI/ML capabilities.
- Develop backend services, APIs, and integrations using Python, Java, FastAPI, Flask, or similar technologies.
- Build and manage AI/ML pipelines for experimentation, training, evaluation, and deployment.
- Operationalize machine learning models in production using containers, APIs, and cloud services.
- Support a Model Control Plane 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 practices including human-in-the-loop workflows, content moderation, explainability, and data privacy safeguards.
- Collaborate with data scientists, software engineers, DevOps teams, and stakeholders on secure, compliant, maintainable, and scalable deployments.
Requirements
- 6+ years of experience in full-stack software development.
- 3+ years of experience with AI/ML engineering.
- Experience with Python and backend services, APIs, or data-processing applications leveraging Java.
- Experience with JavaScript or TypeScript and frontend frameworks such as React, Angular, or Vue.
- Experience designing and integrating REST or GraphQL APIs, microservices, and enterprise application integrations.
- Experience with TensorFlow, PyTorch, LangChain, OpenCV, OpenAI, AutoGen, CrewAI, or Scikit-learn.
- Experience with AWS, Azure, or GCP and CI/CD and MLOps practices.
- Experience with relational databases and NoSQL, vector database, or caching technologies.
- Bachelor’s degree in a Computer Science field.
- Public Trust eligibility and successful completion of a government investigation as required.
- U.S. citizenship is required.
- Preferred experience includes feature stores, model registries, model-serving platforms, Docker, Kubernetes, cloud-native applications, distributed systems, OpenTelemetry, regulated environments, Pinecone, Weaviate, FAISS, and responsible AI, ethics, security, privacy, and compliance frameworks.
- Candidates must complete Booz Allen’s required skills assessment and meet the minimum proficiency threshold.
Benefits
- Health, life, disability, financial, and retirement benefits are offered to eligible employees.
- Benefits include paid leave, professional development, tuition assistance, work-life programs, and dependent care.
- Recognition awards acknowledge exceptional performance and demonstration of company values.
- Full-time and part-time employees working at least 20 hours per week on a regular basis may participate in Booz Allen benefit programs; employees below that threshold receive select offerings.
- The role may require work at a Booz Allen or customer facility when designated remote, hybrid, or onsite, according to the applicable work model.
- Applicants must complete identity verification using biometrics and may be required to appear on camera during interviews and assessments.
Tech Stack
AngularAWSAzureDockerFastAPIFlaskGoogle Cloud PlatformGraphQLJavaJavaScriptKubernetesOpenCVPythonPyTorchReactscikit-learnTensorFlowTypeScriptVue.js
Categories
About Booz Allen Hamilton
Booz Allen Hamilton builds and integrates software, analytics, AI, cloud, and cybersecurity solutions while providing engineering and consulting services, primarily for U.S. defense, intelligence, and civil government clients, with select commercial partnerships. Its business is largely government contracting and professional services delivering mission systems and cyber defense. Founded in 1914 and headquartered in McLean, Virginia, Booz Allen is a public company traded on the NYSE (ticker: BAH).