Designing, developing and maintaining custom full-stack applications with a focus on AI and GenAI integration.
Building, integrating, and deploying machine learning and AI models, including Large Language Models (LLMs) Retrieval-Augmented Generation (RAG) pipelines, prompt engineering, and fine-tuning.
Implementing and maintaining CI/CD pipelines using GitLab CI.
Designing and implementing robust backend services and APIs.
Collaborating with data scientists and AI researchers to create new functionality and to integrate AI models into applications.
Ensuring the performance, quality, and responsiveness of full-stack applications.
Develop and maintain full-stack applications with a focus on AI integration.
Design and implement backend services and APIs.
Conduct code reviews and maintain code quality standards.
Participating in agile delivery phases and ceremonies including release and sprint planning, artifact creation, sprint testing, demonstrations and retrospectives.
Staying current with the latest advancements in AI technologies, tools, and best practices.

Requirements

U.S. Citizen with ability to obtain DHS Entry On Duty (EOD)
BA/BS and 10 years’ relevant experience required (Experience may be substituted for education: MA/MS and 7 years’ experience, AA and 12 years’ experience, or over 16 years' experience without a degree)
Ability to analyze technically complex problems
Full Stack development experience including proficiency in both front-end (React, Typescript, CSS) and back-end development
Expert proficiency in Python for backend development
Experience with prompt engineering; general knowledge of working with LLMs
Strong experience with React and CSS for front-end development
Experience with a dynamic language/platform (e.g., Python, Node.js, Ruby, PHP)
Additional experience in multiple software developer languages including JavaScript, TypeScript, React, YAML, and JSON.
Ability to work with cloud services and platforms (Azure or AWS) with a preference for strong working knowledge of Azure development and AI hosting infrastructure.
Ability to develop and work with APIs including familiarity with RESTful services
Comprehensive understanding of SQL/PostgreSQL and NoSQL databases
Ability to work with Data Scientist teams to integrate applications with AI/ML, Big Data, or BI solutions.
Ability to work independently on complex tasks with little direction.

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

full-stack developmentAI integrationmachine learningLarge Language Models (LLMs)prompt engineeringCI/CD pipelinesPythonReactCSSSQL/PostgreSQL

problem analysisindependent workcollaborationcode reviewagile methodology