Senior Platform Engineer (FedD239)
Defenseunicorns · Springfield, VA
About this role
**Senior Platform Engineer (FedD239)** *AI Engineering | Forward Deployed Engineering* Defense Unicorns is seeking a **Senior AI Agentic Engineer** to embed with a government team and its technology partners, building an emerging **AI-powered engineering ecosystem**. This role focuses on **designing, integrating, and operationalizing AI agents and agentic workflows** within a **secure enterprise environment**—turning AI capabilities into **reliable, mission-relevant production workflows**. --- ## Role Description You’ll work across **LLMs, agent frameworks, enterprise data, APIs, developer tooling, and platform services**. You’ll be hands-on with **prototyping and productionizing** agentic capabilities, including **evaluation, reliability, safety, latency, and cost**—and collaborating with platform engineers and commercial technology partners. > This is **not** a research-only role. The goal is to move from concepts/prototypes to **secure, useful, repeatable agentic capabilities** that operate in production. --- ## Responsibilities - Design, build, and integrate **AI agents** and **multi-agent workflows** using modern LLM/agent technologies - Develop agent capabilities that interact with **enterprise applications, APIs, data sources, developer tools, and mission systems** - Integrate models/agents/tools/data into **secure workflows** deployable in **controlled and classified environments** - Work with **RAG, embeddings, vector databases, tool/function calling, structured outputs, MCP**, and related technologies - Build mechanisms for agents to **securely discover, access, reason over, and act upon approved enterprise data/services** - Prototype and rapidly evaluate emerging models/frameworks to identify measurable mission/engineering value - Create **evaluation/testing frameworks** for accuracy, reliability, safety, latency, cost, and task completion - Implement **guardrails and policy controls** (agent behavior, tool access, data access, human approval points) - Integrate agentic capabilities with **CI/CD and DevSecOps** for repeatable development, testing, deployment, and lifecycle management - Collaborate with platform engineers to operationalize AI workloads in **Kubernetes/OpenShift** environments - Work with commercial AI/technology partners to integrate capabilities into the broader engineering ecosystem - Troubleshoot issues across **models, agent frameworks, APIs, data sources, networking, identity, and infrastructure** - Develop reusable patterns for **agent deployment, configuration, observability, evaluation, and lifecycle management** - Document architectures, integration patterns, agent specs, evaluation results, and operational procedures - Identify recurring AI engineering challenges to standardize, automate, or productize - Stay current with evolving agentic AI technologies and assess applicability to secure government environments --- ## Minimum Experience & Qualifications - **Active Top Secret clearance** - Hands-on experience building applications/systems using **LLMs and generative AI** - Experience designing and implementing **AI agents / agentic workflows** - Strong programming experience in **Python and/or another modern 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, structur
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