AI Software Engineer

Location: Remote, but candidates must be U.S. citizens residing in one of the approved hiring hubs: DC/Maryland/Virginia; Raleigh/Durham/Chapel Hill, NC; Denver/Colorado Springs, CO; or Dallas/Fort Worth, TX.

Base salary: $150,000–$160,000 annually, plus potential equity awards and discretionary bonuses.

Company

hirify.global Systems is a public-benefit software company building secure software deployment capabilities for government and regulated networks, with a focus on U.S. national security.

What you will do

• Architect, build, and ship production agentic AI systems using LangGraph and LangChain, emphasizing reliability, traceability, and measurable output quality.
• Build ingestion pipelines, embedding and chunking strategies, retrieval and re-ranking components, and tool suites connected to knowledge bases, vector databases, and internal and external APIs.
• Connect agents to corporate tools and knowledge through the Model Context Protocol by building MCP servers and consuming MCP clients.
• Establish and operate cloud infrastructure for R&D AI systems using Amazon EKS, Terraform, Helm, and GitOps delivery patterns.
• Build evaluation and regression suites for groundedness, faithfulness, relevance, and retrieval quality, and run them in CI.
• Partner with Product and Engineering teams to identify AI workflows, advise on agent architecture and model selection, and establish output quality standards.

Requirements

• At least 2 years of full-time software, ML, or AI engineering experience with hands-on production work building and shipping LLM-based systems.
• Hands-on experience building agentic AI systems with tool-calling agents and multi-step orchestration using LangGraph, LangChain, or equivalent.
• Production experience with Retrieval-Augmented Generation, including vector stores, embedding models, chunking strategies, and retrieval quality optimization.
• Experience deploying containerized AI services to cloud environments using Docker, Kubernetes, preferably EKS, and infrastructure as code, preferably Terraform.
• Ability to communicate AI concepts and recommendations to non-technical stakeholders and cross-functional teams.
• U.S. citizenship and residence in an approved hiring hub: DC/Maryland/Virginia, Raleigh/Durham/Chapel Hill, NC, Denver/Colorado Springs, CO, or Dallas/Fort Worth, TX.

Nice to have

• Experience building MCP servers or clients, or integrating agents with enterprise tools and knowledge bases.
• Experience with AWS AI services such as Bedrock Knowledge Bases, AgentCore, and OpenSearch.
• Experience operating LLM gateways or serving infrastructure such as LiteLLM, vLLM, and GPU-backed self-hosted models, including single- and multi-tenant designs.
• Experience driving AI adoption across a product organization and enabling others to use AI effectively.
• Experience working in or with the Department of Defense, federal agencies, or regulated environments.
• Familiarity with NIST 800-53, FedRAMP, or NATO D32 compliance frameworks.

Culture & Benefits

• Mission-focused work supporting U.S. national security and regulated software environments.
• Flexible remote work opportunities.
• Employer-paid medical, dental, and vision coverage for employees and dependents.
• 401(k) with a 3% company contribution, equity incentive plan, and potential discretionary bonuses.
• Wellness benefits, mental health resources, family planning support, flexible paid time off, federal holidays, and generous parental leave.
• Home office and new-hire technology stipends, plus an annual professional development stipend.

Hiring process

• Applications are reviewed on a rolling basis.
• The position remains open until filled.