AI Application Engineer (LLM/RAG)

Location: Remote within the United States; all applicants must currently reside in the United States and be able to obtain and maintain a security clearance.

Salary: USD $94,276–$150,842 per year.

Company

hirify.global provides AI-powered decision intelligence solutions for national security, supply chain management, and digital identity.

What you will do

• Build and maintain full-stack features using FastAPI, PostgreSQL, React, and TypeScript in an Nx monorepo.
• Design and maintain production LLM/RAG pipelines with LangChain or LangChain4J, including retrieval, embeddings, agents, tools, and prompt workflows.
• Integrate LLM providers, document ingestion, semantic search, chat, and reporting capabilities.
• Work with pgvector, Weaviate, Redis, Keycloak, MCP, REST/PostgREST, and external data adapters.
• Write tests, participate in CI/CD with Docker and GitHub Actions, and improve production reliability, performance, and security.
• Use AI-assisted development tools effectively while reviewing generated code and delivering production-quality changes.

Requirements

• 3+ years of full-stack development experience with strong Python and React/TypeScript skills.
• Hands-on experience building production LLM/RAG features with LangChain or LangChain4J.
• Experience building and consuming REST APIs, preferably with FastAPI or similar frameworks.
• Solid PostgreSQL skills, including schema design, SQL, and migrations.
• Comfort with Docker, testing, debugging, code reviews, and basic deployment workflows.
• Must currently reside in the United States and be able to obtain and maintain a security clearance.

Nice to have

• Experience with Dash, Plotly, Flask, or legacy-to-modern UI migrations.
• Keycloak/OAuth, Redis sessions, Nx monorepos, TanStack Router/Query, or Tailwind CSS.
• MCP, Ask Sage, or similar enterprise LLM platforms.
• Government, defense, or regulated-environment experience.

Culture & Benefits

• Remote work arrangement within the United States.
• Work on AI-powered decision intelligence for complex, mission-based environments.
• Opportunity to work across AI, backend, frontend, database, and security layers.
• Equal opportunity employment, including for protected veterans and individuals with disabilities.