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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Engineer - **Company:** The Agency - **Location:** Washington, DC, United States (Remote available) - **Experience:** Experienced - **Salary:** $140,000.0 - $180,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Software Applications, Microsoft Azure, Cloud Engineering, Software Design Patterns, Distributed Systems, Python (Programming Language), Node.Js, Software Architecture, Software Engineering, Systems Integration, Rust (Programming Language), Google Cloud, Enterprise Software Applications, Microsoft Power Automate, Spring Cloud, ReactJS, Large Language Models, Multi-Agent Systems, Prompt Engineering, Generative AI, Cloudformation, Containerization, AI Platforms, AngularJS, Information Technology, Virtual Agents, Terraform, Oracle Cloud Infrastructure, GPT, Automation Anywhere - **Published:** July 26, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=948b6ed6b60a0aae ## About the Role * Bachelor's degree in Computer Science, Artificial Intelligence, Software Engineering, Information Technology, or a related field, or equivalent professional experience. * U.S. Citizenship is required. * 15+ years of software engineering, distributed systems, and cloud-native application development experience. * 2+ years of hands-on experience developing and integrating Generative AI, LLMs, agentic AI, or AI automation solutions. * Strong prompt engineering experience translating business requirements into effective AI workflows. * Experience with one or more leading AI platforms such as ChatGPT, Claude, Gemini, Microsoft Copilot, or similar enterprise AI platforms. * Strong experience with Angular, React, Python, Node.js, Rust, or similar modern development frameworks. * Experience designing cloud-native applications using AWS, Google Cloud Platform (preferred), Microsoft Azure, or Oracle Cloud. * Experience evaluating AI models for accuracy, bias, reliability, and overall system performance. * Experience using AI testing and evaluation platforms such as Braintrust, Galileo, or similar tools. * Strong understanding of software architecture, design patterns, APIs, and modern engineering best practices. * Excellent analytical, communication, and collaboration skills., * Experience supporting federal government technology modernization initiatives. * Experience building AI-powered enterprise applications. * Experience developing agentic AI or autonomous workflow solutions. * Familiarity with Retrieval-Augmented Generation (RAG), vector databases, AI orchestration frameworks, and enterprise AI governance. * Experience with Infrastructure as Code (Terraform or CloudFormation). * An active U.S. Government security clearance is a plus. * Candidates selected for certain projects may be required to obtain and maintain a U.S. Government security clearance. ## Description Goldman Edwards is seeking an experienced AI Engineer (AI Foundry) to design, develop, evaluate, and deploy AI-powered applications and intelligent software solutions supporting mission-critical federal technology initiatives. This role will work closely with architects, engineers, and business stakeholders to translate business requirements into AI-enabled solutions using Generative AI, Large Language Models (LLMs), prompt engineering, agent-based systems, and cloud-native technologies. The ideal candidate combines deep software engineering expertise with hands-on experience building, testing, and deploying modern AI solutions. What You'll Do * Translate business requirements and problem statements into effective prompts for AI Foundry platforms and Generative AI ecosystems. * Design, develop, test, and deploy AI-powered applications and intelligent automation solutions. * Evaluate AI-generated code and system designs for quality, scalability, maintainability, and security. * Identify design gaps and implement improvements to architecture and application code. * Develop, integrate, and optimize AI, Generative AI, and agent-based applications. * Collaborate with software engineers, architects, and business stakeholders throughout the Software Development Life Cycle (SDLC). * Test, validate, and deploy AI-enabled applications into production environments. * Evaluate AI system accuracy, reliability, bias, and performance using modern testing methodologies. * Stay current on emerging AI technologies, frameworks, and industry best practices. ## Related Videos - [Should we build Generative AI into our existing software?](https://www.wearedevelopers.com/videos/1129-should-we-build-generative-ai-into-our-existing-software) - [Stop using Node.js like in 2020! 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Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [The Prompt Engineer ✍️](https://www.wearedevelopers.com/magazine/216-the-prompt-engineer) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models)