Data & AI Engineer (Agentic Systems)

Responsibilities

• Design, build, and maintain agentic AI applications integrating LLMs, tools, APIs, and enterprise data.
• Develop AI agents that execute multi-step tasks, interact with external services, and coordinate actions across existing systems.
• Implement agent orchestration, tool calling, workflow state management, error handling, and human oversight.
• Build and integrate RAG pipelines, semantic search, embeddings, and vector-based retrieval.
• Develop Python backend services and REST APIs and integrate applications with external services, data sources, enterprise platforms, and existing software workflows.
• Establish testing, evaluation, monitoring, reliability, documentation, reusable components, and operational standards for AI agents and LLM-powered applications.
• Collaborate with data and platform engineers to access governed enterprise data and deploy AI applications in Kubernetes/OpenShift and CI/CD environments.
• Troubleshoot issues across agent behavior, APIs, data access, application services, infrastructure, and AI components.
• Work with government engineers and commercial technology partners to resolve integration challenges and support mission delivery.

Requirements

• Approximately 3–5 years of software engineering experience or equivalent demonstrated technical capability.
• Hands-on experience building agentic AI applications, including AI agents, LLM tool calling, multi-step workflows, or agent orchestration.
• Strong proficiency with Python and backend software development.
• Experience integrating LLMs into applications through APIs, SDKs, or comparable technologies.
• Experience building and integrating REST APIs and connecting applications with external services or data sources.
• Understanding of agent workflows, tool execution, state management, and error handling.
• Experience with Git, testing, debugging, cloud-native or containerized environments, and modern software development practices.
• Ability to troubleshoot across APIs, data services, infrastructure, and AI components and translate ambiguous mission needs into working software.
• Active Top Secret clearance with SCI eligibility.
• Ability to support approximately 2–3 days per week onsite in Springfield, Virginia, with additional onsite presence as mission needs increase.
• Preferred experience with LangGraph, LangChain, CrewAI, AutoGen, or comparable agentic AI frameworks.
• Preferred experience developing multi-agent systems, autonomous workflows, AI-enabled software development tools, Model Context Protocol, function calling, RAG, embeddings, vector databases, semantic search, or knowledge graphs.
• GEOINT experience is preferred but not required.

Benefits

• Remote-USA arrangement with approximately 2–3 days per week onsite in Springfield, Virginia, increasing as mission needs require.
• Medical, dental, and vision coverage with premiums 100% company paid.
• Health Savings Account, life insurance, and disability insurance.
• 401(k) retirement plan, company stock options, and home office budget.
• Flexible Time Off, federal holidays, one week for Thanksgiving, and two weeks for Christmas and New Year’s.
• Paid parental leave.
• Reimbursement for approved training and subscriptions and conference travel, lodging, and fees.