Agentic AI Engineer — Onsite VA, TS Clearance, Kubernetes

Defense Unicorns; Virginia; On-site; USD 149,000 - 201,000; Full time

Benefits offered by this job

Medical/Dental/Vision

Premiums are 100% Company Paid

Health Savings Account

Life Insurance

Disability Insurance

401k Retirement Plan

Company Stock Options

Home Office Budget

Full-time Flexible Time Off

Paid Parental Leave

Reimbursement for trainings/subs

Conferences (travel, lodging, fees)

Job summary

Defense Unicorns in Virginia is seeking an experienced software engineer to design, build, and maintain agentic AI applications that integrate LLMs, tools, APIs, and enterprise data for mission workflows. The role embeds with a government team and requires on-site presence in Springfield, VA roughly 2–3 days per week.

You will implement agent orchestration, RAG pipelines, and backend services in Python, participate in CI/CD, and ensure testing, monitoring, and reliability.

Qualifications

• 3–5 years of software engineering experience or equivalent.
• Hands-on experience building agentic AI applications and multi-step workflows.
• Strong Python proficiency and backend software development
• Experience integrating LLMs via APIs/SDKs
• Experience building REST APIs and integrating external services
• Understanding of agent workflows, state management and error handling
• Git, testing, debugging, and modern DevOps practices
• Cloud-native or containerized environments and collaboration with platform teams
• Ability to work independently and translate mission needs into working software
• Active Top Secret clearance with SCI eligibility required

Responsibilities

• Design, build, and maintain agentic AI applications integrating LLMs, tools, APIs, and enterprise data.
• Develop AI agents that execute multi-step tasks and coordinate actions across systems.
• Implement agent orchestration, tool calling, and workflow state management with robust error handling.
• Build and integrate RAG pipelines, semantic search, embeddings, and vector retrieval.
• Create backend services and APIs using Python and modern software practices.
• Integrate agentic capabilities into existing apps, CI/CD workflows, and enterprise platforms.
• Establish testing, monitoring, and reliability practices for AI agents and components.
• Collaborate with data and platform engineers to ensure reliable data access and deployment on Kubernetes/OpenShift.
• Remediate end-to-end integration challenges with government engineers and partners
• Produce reusable components and documentation for scalable implementations

Skills

Software engineering

Agentic AI

Python

APIs REST

Git

Kubernetes/OpenShift

CI/CD

Cloud-native

Troubleshooting

Clearance

Tools

Kubernetes

OpenShift

CI/CD

LangGraph

LangChain

CrewAI

AutoGen

MCP

Vector databases

Job description

Defense Unicorns in Virginia is seeking an experienced software engineer to design, build, and maintain agentic AI applications that integrate LLMs, tools, APIs, and enterprise data for mission workflows. The role embeds with a government team and requires on-site presence in Springfield, VA roughly 2–3 days per week.

You will implement agent orchestration, RAG pipelines, and backend services in Python, participate in CI/CD, and ensure testing, monitoring, and reliability.