Software Engineer - Full Stack AI

Roles and Responsibilities

The candidate should be capable to work independently as a full stack contributor to an agile AI/ML software development and deployment team. He or she should exhibit expertise in:

• Data Science and ML Frameworks
• AI/Mlops - Model Containerization and deployment, pipeline automations
• Strong software architecting and programming skills, with proficiency in Java and Python
• Developing software applications interfaces (APIs), integrating software applications
• Web-based Front-End Application design and development for scalable software solutions
• User Interface (GUI) Design and Development for intuitive user experiences (UI/UX)
• Cloud and Information Technology principals including cloud based architectures, database architectures, and data sharing protocols

The candidate should also demonstrate a general understanding, or interest in gaining expertise in:

• Systems Engineering processes, methods, and tools as applied to systems lifecycles
• Digital Engineering methodologies and tooling

In this role, the candidate would be collaborating with a software development team on the development and deployment of full-stack artificial intelligence software applications. Day to day responsibilities would include the specification, architecting, and development of cloud-based software including AI/ML technology and pipelines. The candidate will be working in a cross-functional team designing, developing and deploying advanced applications in cloud and AI technology. Application development includes integration with commercial and cloud-based software through REST or Open APIs. Development of pipelines for software builds. Occasionally, customer facing demonstrations of software technology are required. Additional duties as assigned.

Required Skills

• BS 8-10, MS 6-8, PhD 3-5
• Must be able to obtain and maintain a Secret Clearance

Technology and Tools

The ideal candidate should demonstration proficiency in the following technologies:

• Software Engineering (Java, Python)
• Graph-Based/Data Science Skills (PyGraph, Pydantic)
• AI/MLOps - (Azure AI Studio; AWS Sagemaker, Kubeflow, etc)
• Familiarity with LLM APIs (OpenAI API, AWS Bedrock/boto)
• Experience with modern LLM integration methods and applicable tools (LlamaIndex/LangChain):
• Orchestration frameworks (RAG, Agents, MCP, etc)
• Retrieval (Vector Search, BM25, Hierarchical, etc)
• Experience with Software Development lifecycle practices and automations (Pipeline design, management, Git/GitOps, CI/CD, Version Control, Testing)
• Cloud-native technologies and development (Python/FastAPI, SQL, Redis)
• Command-line (CLI) Proficiency (Bash, PowerShell, etc)
• Experience integrating software via RESTful APIs, Java APIs, WebSockets, Async Message Queues (Pub/Sub, etc)
• Experience with web-based technologies (HTML/CSS/JavaScript) and JavaScript Frameworks (React, Vue, Angular, Next) (3+ years)

We are an equal opportunity employer and federal government contractor. We do not discriminate against any employee or applicant for employment as protected by law.