AI Implementation Engineer (AI)

Location: Hybrid/on-site in Arlington, VA or Mount Laurel, NJ, with at least 3 days in the office. Applicants must be able to obtain and maintain an active Secret U.S. Security Clearance and travel up to 10% as needed.

Salary: $114,000–$231,000 per year, with ranges varying by experience, skills, and education.

Company

hirify.global develops mission-critical software and systems solutions for the U.S. government and defense industry, including automation, digital engineering, and advanced capabilities for weapon and combat systems.

What you will do

• Design and implement end-to-end agentic AI systems for on-premises, air-gapped environments.
• Integrate LLMs, APIs, data sources, tools, and Model Context Protocol interfaces.
• Build and optimize RAG pipelines connected to live knowledge sources, structured data, and enterprise content.
• Develop conversational systems and intelligent agents with memory, contextual awareness, and multi-turn interactions.
• Evaluate and improve prompts, orchestration logic, retrieval quality, tool execution, and system performance.
• Architect local CPU/GPU infrastructure, maintain offline model update pipelines, and collaborate on broader software and system architectures.

Requirements

• Bachelor’s degree in a relevant technical field or equivalent professional experience; a master’s degree is highly desired.
• 5–10+ years of experience in software engineering, machine learning engineering, AI engineering, or a related technical role.
• Proficiency in Python, including NumPy and Pandas.
• Hands-on experience with local inference engines such as vLLM, SGLang, Triton Inference Server, or TensorRT-LLM, and with AI/ML frameworks such as PyTorch, TensorFlow, LangChain, LangGraph, Semantic Kernel, or AutoGen.
• Experience with Linux hardening, LLM hosting, distributed networking, containerization, and hosting chat and embedding models.
• Ability to work independently, collaborate across teams, document technical work, and adapt between projects in an agile environment.

Nice to have

• Experience with local GPU hardware, NVIDIA architectures, AI gateways, model optimization, quantization, tool calling, RAG, vector stores, Model Context Protocol, and container orchestration.
• Experience managing personnel while maintaining cost and schedule targets.
• Strong problem-solving skills in ambiguous situations.

Culture & Benefits

• Entrepreneurial culture focused on innovation, rigorous problem-solving, and collaboration.
• Competitive benefits package, paid time off, and paid holidays.
• 401(k) with immediate vesting and matching.
• Optional 9/80 schedule, with the second and fourth Friday off each month.
• Tuition assistance, professional development resources, pre-tax commuter benefits, and employee recognition programs.
• Regular technology events, social events, and catered lunches.