Senior AI Engineer (AI)

Location: Remote within the United States

Salary: $148,750–$201,250 USD annually

Company

hirify.global delivers secure, cloud-native software integration and delivery solutions for federal, defense, civil, and private-sector customers.

What you will do

• Design, build, and integrate AI agents and multi-agent workflows using LLMs and modern agent frameworks.
• Connect agents to enterprise applications, APIs, databases, developer tools, mission systems, and approved data sources.
• Operationalize AI capabilities in secure, controlled, and classified environments, including Kubernetes/OpenShift platforms.
• Develop evaluation and testing frameworks for accuracy, reliability, safety, latency, cost, and task completion.
• Implement guardrails, policy controls, identity and permission management, and human-in-the-loop approval points.
• Integrate AI capabilities with CI/CD and DevSecOps workflows; document reusable deployment, observability, evaluation, and lifecycle patterns.

Requirements

• Active Top Secret clearance.
• Hands-on experience building applications or systems with large language models and generative AI, including 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, plus experience with an agent framework or orchestration approach.
• 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.
• Strong software engineering fundamentals, including testing, version control, APIs, debugging, and system design.
• Ability to rapidly prototype, test, troubleshoot, and iterate in ambiguous environments.
• Ability to work effectively with platform engineers, government personnel, and multiple technology vendors.

Nice to have

• Experience with MCP, multi-agent systems, agent orchestration, LangGraph, LangChain, LlamaIndex, Semantic Kernel, or comparable frameworks.
• Experience with OpenAI, Anthropic, Google, NVIDIA, NVIDIA NIM, NeMo, or comparable model and inference ecosystems.
• Experience with OpenShift AI, Kubernetes-based AI platforms, GPUs, model serving, inference optimization, or AI infrastructure.
• Experience with agent evaluation, observability, guardrails, policy enforcement, human-in-the-loop workflows, or AI safety controls.
• Experience with RAG pipelines, vector databases, knowledge graphs, enterprise search, and developer or DevSecOps workflows.
• Experience deploying AI systems in Secret or TS/SCI environments, including disconnected or air-gapped environments.
• Familiarity with GitLab, Jira, Confluence, Xacta, UDS, Zarf, Pepr, Iron Bank, or similar tools.
• Experience taking AI prototypes into repeatable, production-ready capabilities and making pragmatic build, buy, or integrate decisions.

Culture & Benefits

• Mission-driven work supporting defense and civil agencies across the U.S. government.
• Full-time employees receive flexible time off, federal holidays, Thanksgiving leave, and Christmas/New Year’s leave.
• Company-paid medical, dental, and vision premiums, plus health savings, life, and disability insurance.
• 401(k) retirement plan, company stock options, and a home office budget.
• Paid parental leave and reimbursement for approved training, subscriptions, and conferences.