Full Stack Engineer
About The Position
We are looking for a seasoned Full Stack Engineer to contribute to the development of a next-generation AI platform powering advanced, data-driven solutions. This role offers the opportunity to work on cutting-edge generative AI technologies within a highly collaborative and fast-paced engineering environment. You will partner with a diverse group of engineers, data specialists, and product stakeholders to design and deliver scalable platform capabilities. A key focus of this position is adapting and extending platform functionality for government and defense-oriented applications.
Requirements
- U.S. Citizenship is required
- Experience supporting defense or government environments , including handling classified data
- Active Secret clearance required (Top Secret or higher preferred)
- 7+ years of professional experience in software engineering
- Strong proficiency in Python for backend development
- Hands-on experience building full-stack applications using React and Next.js
- Experience with AI agents / agentic systems and LLM-based application design
- Familiarity with knowledge graphs (Neo4j) and relational databases (PostgreSQL or cloud equivalents such as Amazon RDS)
- Experience designing and managing CI/CD pipelines
- Understanding of confidence scoring mechanisms and validation pipelines in AI systems
- Experience working with cloud platforms (AWS, Azure, GCP)
- Knowledge of containerization technologies (e.g., Docker)
- Strong problem-solving skills and ability to work effectively in a collaborative, cross-functional environment
Nice To Haves
- Prior experience working on enterprise-scale platforms is preferred
Responsibilities
- Design, develop, and maintain full-stack applications using Python, React, and Next.js
- Build and integrate APIs and agent-based systems , including AI-driven and LLM-powered workflows
- Leverage large language models (LLMs) for data processing, retrieval, and intelligent synthesis
- Collaborate with cross-functional teams including engineers, data scientists, and product leaders
- Implement robust testing, debugging, and code optimization practices
- Contribute to the development of confidence scoring and validation pipelines for AI outputs
- Develop and maintain CI/CD pipelines to support efficient software delivery
- Work with knowledge graphs (Neo4j) and relational databases such as PostgreSQL or cloud-managed equivalents
- Deploy and manage applications across cloud environments (AWS preferred; Azure and GCP are a plus)
- Utilize containerization technologies to support scalable and portable deployments
- Stay current with advancements in generative AI and agentic architectures , applying best practices to platform development
Benefits
- Hands-on involvement in building advanced AI and GenAI-driven platforms
- A high-performance engineering culture with strong mentorship and growth opportunities
- Continuous learning through structured programs and real-world technical challenges
- The opportunity to influence product direction and contribute innovative solutions
- Collaboration with globally distributed, highly skilled teams
- Competitive compensation and a comprehensive benefits package
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
