Agentic AI Engineer for Mission-Critical Systems

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

Benefits offered by this job

Health insurance

401k retirement plan

Stock options

Home office budget

Job summary

Defense Unicorns seeks an Applied AI Engineer to design, build, and embed agentic AI capabilities within a government-focused ecosystem. You will integrate LLMs, tools, and enterprise data to support mission workflows and multi-step tasks.

You will work across LLM integration, agent orchestration, APIs, and RAG pipelines while collaborating with data and platform engineers. Remote-USA availability and onsite Springfield presence are required by mission needs.

Qualifications

• 3–5 years software engineering experience.
• Hands-on experience building agentic AI applications.
• Strong proficiency with Python and backend development.
• Experience integrating LLMs into apps via APIs/SDKs.
• Experience building/rest APIs and connecting external services.
• Understanding agent workflows, state management, and error handling.
• Experience with Git, testing, debugging, and modern practices.
• Cloud-native/containerized environments and collaboration with platform teams.
• Ability to troubleshoot across APIs, data, infrastructure, and AI components.
• GEOINT experience is preferred, not required.

Responsibilities

• Design, build, and maintain agentic AI apps that integrate LLMs and enterprise data.
• Develop AI agents capable of multi-step tasks and tool interactions.
• Implement orchestration, tool calls, and workflow state management.
• Build RAG pipelines, semantic search, embeddings, and vector retrieval.
• Develop backend services and Python APIs.
• Integrate AI capabilities into existing applications and CI/CD workflows.
• Establish testing, monitoring, and reliability practices.
• Work with data/platform engineers on secure enterprise data access and governance.
• Deploy and operate AI apps within Kubernetes/OpenShift environments.
• Troubleshoot end-to-end issues across systems and integrations.

Skills

Python

LLM integration

Agent orchestration

REST APIs

Git

Kubernetes

OpenShift

CI/CD

Tools

LangGraph

LangChain

CrewAI

AutoGen

Kubernetes

OpenShift

Job description

Defense Unicorns seeks an Applied AI Engineer to design, build, and embed agentic AI capabilities within a government-focused ecosystem. You will integrate LLMs, tools, and enterprise data to support mission workflows and multi-step tasks.

You will work across LLM integration, agent orchestration, APIs, and RAG pipelines while collaborating with data and platform engineers. Remote-USA availability and onsite Springfield presence are required by mission needs.