Senior Platform Engineer (FedD239)

The role

The Senior Platform Engineer will design, integrate, and operationalize AI agents and agentic workflows. This role focuses on moving AI capabilities from prototypes to secure, repeatable production environments within a government ecosystem.

What you will do

• Design, build, and integrate AI agents and multi-agent workflows.
• Develop agent capabilities that interact with enterprise applications, APIs, and data sources.
• Integrate models and agents into secure workflows for controlled and classified environments.
• Work with LLMs, RAG, embeddings, vector databases, and tool calling.
• Develop mechanisms for agents to access and act upon approved enterprise data.
• Prototype and evaluate emerging models and agent frameworks.
• Develop evaluation and testing frameworks for agent accuracy, reliability, and safety.
• Implement guardrails and policy controls governing agent behavior and access.
• Integrate agentic capabilities with CI/CD and DevSecOps workflows.
• Collaborate with platform engineers to operationalize AI workloads within Kubernetes/OpenShift environments.

Required qualifications

• Active Top Secret clearance.
• Hands-on experience building applications or systems using large language models and generative AI.
• Experience designing and implementing AI agents or agentic workflows.
• Strong programming experience in Python and/or another modern programming language.
• Experience integrating AI systems with APIs, enterprise applications, databases, and external tools.
• Experience with one or more agent frameworks or orchestration approaches.
• Working knowledge of RAG, embeddings, vector databases, tool/function calling, structured outputs, and prompt engineering.
• Experience developing software in a Git-based, automated CI/CD environment.
• Ability to rapidly prototype, test, troubleshoot, and iterate in ambiguous environments.
• Strong understanding of software engineering fundamentals, including testing, version control, APIs, debugging, and system design.
• Ability to work effectively alongside platform engineers, government personnel, and multiple technology vendors.

Nice to have

• Experience with MCP (Model Context Protocol) and tool-based agent architectures.
• Experience with multi-agent systems and agent orchestration.
• Experience with OpenAI, Anthropic, Google, NVIDIA, or comparable foundation model ecosystems.
• Experience with NVIDIA NIM, NeMo, or similar AI inference/model-serving technologies.
• Experience with Red Hat OpenShift AI or Kubernetes-based AI platforms.
• Experience with agent evaluation and observability frameworks.
• Experience implementing AI guardrails, policy enforcement, human-in-the-loop workflows, or AI safety controls.
• Experience with LangGraph, LangChain, LlamaIndex, Semantic Kernel, or comparable frameworks.
• Experience with RAG pipelines, vector databases, knowledge graphs, and enterprise search.
• Experience deploying AI systems in Secret or TS/SCI environments.

Benefits

• Medical/Dental/Vision premiums are 100% Company Paid
• Health Savings Account
• Life Insurance
• Disability Insurance
• 401k Retirement Plan
• Company Stock Options
• Home Office Budget
• Flexible Time Off (FTO) plus all Federal Holidays, one week for Thanksgiving, and two weeks for Christmas and New Year’s
• Paid Parental Leave
• Reimbursement for approved trainings/subscriptions
• Conferences (travel, lodging, and fees)

About the company

Defense Unicorns delivers mission value by streamlining software delivery for customers. They create and deliver secure solutions for continuous software integration and delivery.