Senior AI Agentic Engineer for Secure Government Workflows

Defense Unicorns

Washington (District of Columbia)

Vor Ort

USD 180.000 - 240.000

Vollzeit

14 Tage+

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

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Benefits dieser Stelle

Health coverage (medical/dental/vision
Company-paid premiums
Health Savings Account (HSA)
Life Insurance
Disability Insurance
401k retirement plan
Company stock options
Home office budget
Flexible time off (FTO)
Parental leave
Training reimbursements
Conferences (travel, lodging, fees)

Zusammenfassung

Defense Unicorns seeks a senior AI Agentic Engineer to embed with a government team and partners, building an emergent AI-powered engineering ecosystem. You will design, implement, and operationalize AI agents and workflows in a secure environment, interfacing with enterprise data, APIs, and toolchains.

The role emphasizes hands-on development across LLMs, agent frameworks, Kubernetes/OpenShift, and DevSecOps practices to deliver production-ready agentic capabilities for mission use.

Qualifikationen

  • Active TS/SCI clearance required.
  • 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 language.
  • Experience integrating AI systems with APIs, enterprise apps, databases, and external tools.
  • Experience with one or more agent frameworks or orchestration approaches.
  • Knowledge of RAG, embeddings, vector databases, tool/function calling, structured outputs, and prompt engineering.
  • Experience in Git-based, automated CI/CD environments.
  • Ability to prototype, test, troubleshoot, and iterate in ambiguous environments.
  • Strong understanding of software engineering fundamentals: testing, version control, APIs, debugging, system design.
  • Ability to work with platform engineers, government personnel, and multiple technology vendors.

Aufgaben

  • Design, build, and integrate AI agents and multi-agent workflows using LLM and agentic tech.
  • Develop agent capabilities interacting with enterprise apps, APIs, data sources, tools, and mission systems.
  • Integrate models, agents, tools, and data into secure workflows for restricted environments.
  • Work with LLMs, RAG, embeddings, vector databases, tool calling, structured outputs, MCP.
  • Develop mechanisms for agents to securely access and act on enterprise data and services.
  • Prototype and evaluate new models and agent frameworks for mission value.
  • Create evaluation frameworks for agent accuracy, reliability, latency, cost, and task completion.
  • Implement guardrails and policy controls for agent behavior and access, with human approval points.
  • Integrate agentic capabilities with CI/CD and DevSecOps for repeatable development and deployment.
  • Collaborate with platform engineers to deploy AI workloads on Kubernetes/OpenShift.
  • Partner with commercial tech vendors to integrate capabilities into the broader ecosystem.
  • Troubleshoot issues across models, frameworks, APIs, data, networking, and infra.
  • Develop reusable patterns for agent deployment, observability, and lifecycle management.
  • Document architectures, integration patterns, agent specs, results, and ops procedures.
  • Identify recurring AI engineering challenges to standardize or productize.

Kenntnisse

TS/SCI clearance
LLM/GenAI
Agent architectures
Python
APIs integration
CI/CD
Testing & debugging
System design
Cross-functional collaboration
Prototype & iteration
Security-conscious development

Tools

LangChain
LangGraph
LlamaIndex
Semantic Kernel
Kubernetes/OpenShift
OpenAI/Anthropic/NVIDIA ecosystems

Jobbeschreibung

Defense Unicorns seeks a senior AI Agentic Engineer to embed with a government team and partners, building an emergent AI-powered engineering ecosystem. You will design, implement, and operationalize AI agents and workflows in a secure environment, interfacing with enterprise data, APIs, and toolchains.

The role emphasizes hands-on development across LLMs, agent frameworks, Kubernetes/OpenShift, and DevSecOps practices to deliver production-ready agentic capabilities for mission use.

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