Remote Senior AI Agent Engineer – Secure Gov Workflows

Defense Unicorns; United States; Remote; CAD 212,000 - 287,000; Full time

Benefits offered by this job

Health benefits

401k plan

Stock options

Home office budget

Paid holidays

Training reimbursement

Job summary

Defense Unicorns is seeking a Senior Platform Engineer to embed with government teams and partners, designing, integrating, and operationalizing agentic AI workflows in secure enterprise environments. You will work across LLMs, agent frameworks, APIs, and platform services to deliver mission-ready, production-grade capabilities.

The role requires hands-on engineering, rapid prototyping, and collaboration with platform engineers and vendors to ensure secure, reliable deployments in CI/CD

Qualifications

• Active Top Secret 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 CI/CD and automated testing in a Git-based environment.

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 that can be deployed in controlled environments.
• Work with LLMs, RAG, embeddings, vector databases, tool/function calling, structured outputs, 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, agent frameworks, and AI capabilities to determine value.
• Develop evaluation and testing frameworks for agent accuracy, reliability, safety, latency, cost, and task completion.
• Implement guardrails and policy controls governing agent behavior, tool access, data access, and human approval points.
• Collaborate with platform engineers to operationalize AI workloads within Kubernetes/OpenShift environments.
• Work with commercial AI and technology partners to integrate their 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 specifications, evaluation results, and operational procedures.
• Identify recurring AI engineering challenges that can be standardized, automated, or productized into reusable capabilities.
• Stay current with rapidly evolving agentic AI technologies and assess their applicability to secure government environments.

Skills

Python

CI/CD

DevSecOps

APIs

LLMs

Agent frameworks

Tools

Kubernetes

OpenShift

GitLab

Confluence

Jira

Docker

Job description

Defense Unicorns is seeking a Senior Platform Engineer to embed with government teams and partners, designing, integrating, and operationalizing agentic AI workflows in secure enterprise environments. You will work across LLMs, agent frameworks, APIs, and platform services to deliver mission-ready, production-grade capabilities.

The role requires hands-on engineering, rapid prototyping, and collaboration with platform engineers and vendors to ensure secure, reliable deployments in CI/CD