Mid-Level Artificial Intelligence (AI) Engineer

Global Dimensions, LLC; Washington (District of Columbia); Vor Ort; USD 120.000 - 180.000; Vollzeit

Zusammenfassung

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

Responsibilities include building full-stack apps with Next.js/React/TypeScript and Python FastAPI, integrating generative AI, and ensuring robust data validation with Pydantic and Zod. Requires TS/SCI clearance and 9+ years of experience.

Qualifikationen

• U.S. Citizenship required.
• Active TS/SCI clearance with an active CI Polygraph required.
• 9 years of relevant professional experience in computer science, data science, software engineering, or a closely related technical field.
• Proficiency with at least one generative AI development framework (e.g., LangChain, Haystack, LlamaIndex).
• Strong expertise in prompt engineering, including optimization and management.
• Hands-on experience designing and developing agentic AI solutions (Model Context Protocol, AI tool development, A2A communication).
• Strong proficiency in React.js and TypeScript including components, hooks, state management, and API integration.
• Experience developing backend services and RESTful APIs using Node.js or Python.
• Proficiency with PostgreSQL including modeling, migrations, indexing, and query optimization.
• Hands-on experience with Docker and containerized development.
• Understanding of full-stack architecture, API integration, data validation, and modern software practices.
• Strong analytical and problem-solving skills; ability to translate requirements into specs.
• Ability to collaborate with engineers, AI developers, product owners, and stakeholders in a fast-paced environment.

Aufgaben

• Design, prototype, develop, and deploy AI-enabled applications for an Intelligence Community customer.
• Integrate generative AI and agentic AI into mission-critical workflows.
• Build full-stack apps using Next.js, React, TypeScript, FastAPI, Python, PostgreSQL, OpenSearch.
• Develop and integrate LLM-backed capabilities and AI frameworks.
• Design and implement agentic AI solutions, including tool integrations and MCP context management.
• Create and maintain prompt strategies to improve accuracy and performance.
• Use Pydantic and Zod for data validation and schemas.
• Develop RESTful APIs to connect frontend with AI integrations and backend systems.
• Design and optimize PostgreSQL databases and OpenSearch integrations.
• Build and maintain Docker images; deploy in OpenShift and Kubernetes environments.
• Troubleshoot production issues across UI, backend, databases, and AI integrations.
• Collaborate with stakeholders to clarify requirements and estimates.

Kenntnisse

U.S. Citizenship

TS/SCI clearance

9 years experience

Prompt engineering

Agentic AI

Team collaboration

Tools

Next.js

React

TypeScript

FastAPI

Python

PostgreSQL

OpenSearch

Docker

OpenShift

Kubernetes

Pydantic

Zod

LangChain

LlamaIndex

Jobbeschreibung

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.

Responsibilities

• 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, TypeScript, FastAPI, Python, PostgreSQL, OpenSearch, 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 (TypeScript) 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 OpenSearch 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 OpenShift 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.

Requirements

• 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 LangChain, Haystack by deepset, LlamaIndex, 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 TypeScript 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.

Technologies

• Next.js, React, TypeScript
• Python, FastAPI
• PostgreSQL, OpenSearch
• Docker (Dockerfiles, containerized applications)
• OpenShift, Kubernetes (container orchestration concepts)
• Pydantic (Python), Zod (TypeScript)
• LangChain, Haystack by deepset, LlamaIndex
• Model Context Protocol (MCP)
• Node.js, LLMs
• Amazon Web Services (AWS)

Desired Skills

• Experience with AWS products and cloud services for application design, development, or deployment.
• Experience implementing AI observability including monitoring, evaluation, and performance tracking using tools such as Langfuse or LangSmith.
• Hands-on use of agentic AI coding tools and development environments, such as OpenAI Codex.
• Experience building AI-enabled applications using the Next.js AI SDK and FastMCP.
• Familiarity with software development supporting the U.S. Department of Defense and the Intelligence Community.
• Experience working in Linux environments; familiarity with Kubernetes concepts and OpenShift application deployments.
• Experience improving application security, accessibility, performance, scalability, and reliability.
• Experience in an Agile environment collaborating with product management, engineering, operations, and cybersecurity teams.
• Familiarity with secure AI development practices, automated testing, software quality assurance, and modern DevSecOps methodologies.