Mid-Level Artificial Intelligence; AI) Engineer

Global Dimensions, LLC is hiring a mid-level AI engineer to design, prototype, develop, and deploy AI-enabled applications for an Intelligence Community customer in secure, mission-focused environments.

• Design, prototype, develop, and deploy AI-enabled applications aligned to customer requirements, operational objectives, and existing enterprise application environments.
• Partner with stakeholders to find opportunities to integrate generative AI and agentic AI into mission-critical workflows and applications.
• Build and maintain full-stack applications using Next.js, React, Type Script, FastAPI, Python, PostgreSQL, Open Search
  , and other approved technologies.
• Develop and integrate generative AI frameworks and services (including LLM-backed capabilities) to support intelligent automation and mission-focused data processing.
• Design and implement agentic AI solutions, including tool integrations, context management, agent orchestration, and communication between AI agents and external systems.
• Create and maintain prompt strategies, including prompt management to improve accuracy, consistency, reliability, and performance
  .
• Use Pydantic (Python) and Zod (Type Script) to implement robust data validation and enforce application schemas.
• Develop backend services and RESTful APIs to connect frontend functionality with AI integrations and backend systems.
• Design and optimize PostgreSQL databases and Open Search integrations for efficient storage, retrieval, indexing, and performance.
• Build, configure, and maintain Docker images and containerized applications, including Dockerfiles, dependency management, and troubleshooting.
• Deploy, configure, monitor, and troubleshoot in Open Shift and Kubernetes-based environments to support secure delivery.
• Investigate, diagnose, and resolve production issues across UI, backend services, databases, AI integrations, and deployment environments.
• Collaborate with customers, product owners, software engineers, and mission stakeholders to clarify requirements, dependencies, implementation approaches, and development estimates.
• Participate in technical design discussions, architecture reviews, and code reviews to support software quality, maintainability, security, and best practices.
• Develop and maintain automated tests, technical documentation, and other software development artifacts to support reliability and continuous improvement.
• Coordinate with development, operations, and cybersecurity teams to ensure AI-enabled applications meet mission requirements, performance expectations, and applicable security standards.

• U.S. Citizenship required.
• Active Top Secret / Sensitive Compartmented Information (TS/SCI) clearance with an active Counterintelligence (CI) Polygraph required.
• 9 years of relevant professional experience in computer science, data science, software engineering, or a closely related technical field with comparable responsibilities and scope.
• Proficiency with at least one generative AI development framework such as Lang Chain
  , Haystack by deepset
  , Llama Index
  , or a comparable framework.
• Strong expertise in prompt engineering
  , prompt optimization, and prompt management, including building effective prompts for generative AI applications.
• Hands-on experience designing and developing agentic AI solutions, including Model Context Protocol (MCP), AI tool development, context engineering, and agent-to-agent (A2A) communication.
• Strong proficiency in React.js and Type Script including functional components, React hooks, reusable component architecture, state management, and API integration.
• Experience developing and maintaining backend services and RESTful APIs using Node.js or Python
  .
• Proficiency with PostgreSQL including relational modeling, SQL development, schema migrations, indexing, and query optimization.
• Hands-on experience with Docker and containerized development, including Dockerfiles, image builds, environment configuration, and container troubleshooting.
• Understanding of full-stack application architecture, API integration, data validation, and modern software development practices.
• Strong analytical and problem-solving skills, plus the ability to translate customer requirements and business objectives into actionable technical specifications.
• Ability to collaborate effectively with software engineers, AI developers, product owners, and mission stakeholders in a fast-paced, mission-focused environment.

• Next.js, React, Type Script
• Python, FastAPI
• PostgreSQL, Open…