AI Engineer

Build and operate AI-enabled solutions for a U.S. Secret Service contract supporting the Department of Homeland Security in a workplace that emphasizes integrity, trust, and continuous growth. This onsite role in Washington, DC focuses on designing, developing, testing, and supporting production AI applications and agent-based capabilities, including RAG and multi-step agent workflows.

Compensation: USD 120,800 - 265,800 per year. Travel: up to 10% local travel. Schedule: onsite.

What you will do

• Design, develop, test, document, and maintain AI-enabled applications and services.
• Implement AI and agent workflows using LangChain, Microsoft Agent Framework, or other suitable frameworks and services.
• Develop RAG capabilities, including data ingestion, retrieval, grounding, and integration with authorized enterprise information sources.
• Integrate AI models with APIs, enterprise applications, and business workflows, including appropriate tool use and human review.
• Use Python and established software engineering practices to build and maintain application components, APIs, and services.
• Create and execute automated tests and evaluations to assess accuracy, relevance, grounding, safety, and performance.
• Troubleshoot model and application behavior using test results, telemetry, and user feedback to improve solution quality.
• Support deployment and operations, including CI/CD, monitoring, documentation, incident resolution, and ongoing maintenance.
• Apply security and privacy requirements, including identity and access controls, authorization-aware retrieval, and protection of sensitive data.
• Collaborate across data, cloud, cybersecurity, DevSecOps, and software engineering teams to integrate solutions into the enterprise environment.
• Contribute reusable components, technical documentation, and engineering practices that improve consistency and maintainability.
• Support the development of AI Safety/Alignment policies and procedures for ethical, controllable, and aligned systems and agents.
• Use AI safety frameworks such as the NIST AI Safety Framework to help implement alignment controls for LLMs and agents.

What you bring

• Bachelor’s degree plus 10 years of experience in artificial intelligence, machine learning, software engineering, or a related field (equivalencies considered: Master’s + 7 years; 16 years with no degree; AA + 12 years).
• At least five years of experience in software engineering, application development, AI/ML engineering, or a related technical field.
• Demonstrated experience building software applications/services using Python and APIs.
• Hands-on experience building generative AI or machine learning applications that integrate models with data, applications, or workflows.
• Experience with LangChain, Microsoft Agent Framework, or comparable frameworks for AI or agent-based capabilities.
• Understanding of RAG, prompt and context design, model or application evaluation, and integration with enterprise data.
• Experience with automated testing, version control, and CI/CD practices.
• Familiarity with cloud-based development and deployment; Microsoft Azure is preferred.
• Understanding of secure software development and the need to protect sensitive information and restrict access to enterprise data.
• Ability to collaborate with technical teams and product/functional stakeholders and communicate technical work clearly.

Preferred experience

• Production experience developing with both LangChain and Microsoft Agent Framework.
• Experience with LangGraph or other approaches for stateful, multi-step agent workflows.
• Experience with Azure OpenAI, Azure AI services, or Azure AI Foundry.
• Experience implementing authorization-aware RAG, data filtering, and access controls for retrieval and tool use.
• Experience with AI evaluation methods, test sets, tracing, observability, and monitoring for quality, latency, and cost.
• Experience integrating AI applications with enterprise systems, microservices, and web interfaces.
• Familiarity with responsible AI practices, including human review, explainability, and safe handling of uncertain or unsupported outputs.
• Relevant cloud, AI, or software engineering certifications.

Tools you will work with

Python, LangChain, Microsoft Agent Framework, RAG, NIST AI Safety Framework, CI/CD, Microsoft Azure

Benefits

• Healthcare
• Wellness
• Financial
• Retirement
• Family support
• Continuing education
• Time off benefits

Culture

• A culture of integrity
• An environment of trust
• Continuous growth focus