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# AI Engineer

- **Company:** ZP Group
- **Location:** Washington, DC, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Big Data, Data as a Services, Data Architecture, Python (Programming Language), PostgreSQL, OpenShift, Next.js, TypeScript, Workflow Management Systems, Scripting, Haystack, LangChain, ReactJS, Prompt Engineering, Llamaindex, Generative AI, Agentic-AI, Fastapi, Optimization Algorithms, Restful APIs, Model Context Protocol, OpenSearch, Docker
- **Published:** November 10, 2026
- **Apply:** https://www.careerbuilder.com/job-details/ai-engineer-washington-dc--ebc77193-eb20-4253-aac4-f6f5321e8cd5

## About the Role

Artificial Intelligence (AI), REST (Representational State Transfer), Top Secret Clearance, Prototyping, Artificial Intelligence (AI) Agents, Customer Support/Service, Sensitive Compartmented Information (SCI), Python Programming/Scripting Language, Agent Communication, MCP - Microsoft Certified Professional, degree in a related field, Hands-on experience with at least one major Generative AI framework, including LangChain, Haystack, or LlamaIndex . Experience designing and implementing Agentic AI systems and AI workflow orchestration. Proficiency with React, TypeScript, Python, and RESTful API development . Experience working with PostgreSQL and modern data architectures as well as hands-on experience with Docker and containerized application development. Strong written and verbal communication skills with the ability to interact directly with technical and non-technical stakeholders. Active TS/SCI and CI Polygraph Clearance

## Description

Responsibilities: of the AI Engineer will include: Design, prototype, and deploy AI-enabled solutions that directly support customer mission objectives. Develop and maintain full-stack applications using Next.js, TypeScript, FastAPI, Python, PostgreSQL, and OpenSearch . Build and optimize Generative AI and Agentic AI solutions leveraging frameworks such as LangChain, Haystack, and LlamaIndex . Develop intelligent AI agents incorporating Model Context Protocol (MCP) , tool integrations, context engineering, retrieval techniques, and agent-to-agent communication patterns. Design, develop, and maintain backend APIs and data services supporting AI workloads and large-scale data processing. Deploy, manage, and monitor containerized applications using Docker and OpenShift . Implement prompt engineering strategies, prompt lifecycle management, evaluation frameworks, and optimization techniques. Qualifications: for the AI Engineer include: 9+ years of related experience as well as a, Bachelor's