Remote AI Agentic Platform Engineer (TS/SCI)

Defense Unicorns; Springfield, Northern (VA, KY); Hybrid; USD 149,000 - 201,000; Full time

Benefits offered by this job

Health insurance

401k retirement plan

Company stock options

Home office budget

Life Insurance

Disability Insurance

Paid time off

Conference opportunities

Job summary

Defense Unicorns seeks a senior AI Agentic Engineer to embed with a government team and partners, designing, integrating, and operationalizing AI agents in secure enterprise environments. You will work across LLMs, agent frameworks, APIs, and data sources to deliver mission-relevant workflows, ensuring production-grade reliability and governance.

The role emphasizes hands-on implementation, rapid prototyping, and collaboration with platform engineers and partners to scale agentic capabilities in

Qualifications

• Active TS/SCI 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.

Responsibilities

• Design, build, and integrate AI agents and multi-agent workflows using modern LLM and agentic technologies.
• Develop agent capabilities that interact with enterprise applications, APIs, data sources, developer tools, and mission systems.
• Integrate models, agents, tools, and enterprise data into secure workflows for controlled environments.
• Work with LLMs, RAG, embeddings, vector databases, tool/function calling, structured outputs, MCP, and related technologies.
• Develop mechanisms for agents to securely discover, access, reason over, and act upon approved enterprise data and services.
• Prototype and rapidly evaluate emerging models and agent frameworks for measurable value.
• Develop evaluation and testing frameworks for agent accuracy, reliability, safety, latency, cost, and task completion.
• Implement guardrails and policy controls governing agent behaviour, tool access, data access, and human approval points.
• Integrate agentic capabilities with CI/CD and DevSecOps workflows for repeatable development, testing, deployment, and lifecycle management.
• Collaborate with platform engineers to operationalise AI workloads within Kubernetes/OpenShift environments.
• Work with commercial AI partners to integrate capabilities into the 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 specifications, evaluation results, and operational procedures.
• Identify recurring AI engineering challenges that can be standardised, automated, or productised into reusable capabilities.
• Stay current with evolving agentic AI technologies and assess applicability to secure government environments.

Skills

AI agent design

Python programming

Agent frameworks

APIs & enterprise data

CI/CD & DevSecOps

LLMs & RAG

Kubernetes/OpenShift

Testing & observability

Troubleshooting & iteration

Security & gov environments

Tools

Kubernetes/OpenShift

Git-based CI/CD

LangChain/LangGraph

Vector databases

Job description

Defense Unicorns seeks a senior AI Agentic Engineer to embed with a government team and partners, designing, integrating, and operationalizing AI agents in secure enterprise environments. You will work across LLMs, agent frameworks, APIs, and data sources to deliver mission-relevant workflows, ensuring production-grade reliability and governance.

The role emphasizes hands-on implementation, rapid prototyping, and collaboration with platform engineers and partners to scale agentic capabilities in