AI/ML Engineer III (AI)

Location: Hybrid or remote in the United States; candidates near Utica/Rome, New York, work onsite 20% of the week, while remote candidates may travel to the area quarterly or more often. The role also requires approximately 5%–10% travel to customer and client sites. Only U.S. citizens are eligible due to the security clearance requirement.

Salary: $125,000–$175,000 annually.

Company

hirify.global is a U.S.-based technology and research company developing software, machine learning, artificial intelligence, AI-enabled edge devices, mobile and web applications, and quantum computing solutions for government and commercial customers.

What you will do

• Design, develop, and deploy multimodal machine learning architectures and production AI capabilities.
• Build agentic systems on large language models and retrieval-augmented generation pipelines grounded in authoritative data.
• Define and run evaluations for model and agent behavior, including production benchmarks, tracing, and observability.
• Optimize model inference for cloud, edge, and denied, degraded, intermittent, and limited-bandwidth environments.
• Integrate foundation models, machine learning libraries, agent frameworks, data pipelines, and cloud architectures into software products.
• Lead technical work, mentor junior staff, collaborate with product and engineering stakeholders, and contribute to testing, delivery, customer support, and proposal development.

Requirements

• At least three years of professional experience in machine learning or AI systems engineering, including one year building production applications with large language or foundation models.
• Master’s degree in computer science, computer engineering, artificial intelligence, machine learning, or a related field; a relevant bachelor’s degree with seven or more years of experience may substitute. A Ph.D. is strongly preferred.
• Strong Python skills, including asynchronous programming, modern packaging, dependency management, and pytest-based automated testing.
• Experience with PyTorch, Hugging Face, LLM application development, agentic frameworks, retrieval-augmented generation, vector databases, and model evaluation.
• Experience with Kubernetes or Docker, GPU scheduling, cloud platforms, Linux, CI/CD, model serving, and deployment to edge or resource-constrained environments.
• Must be a U.S. citizen and be eligible to obtain and maintain at least Top Secret clearance.

Nice to have

• Experience with DoD cloud and software factory environments, AWS GovCloud, ATO, RMF, IL4/IL5, or federal AI governance.
• Knowledge of distributed training frameworks, knowledge graphs, ontologies, RDF, or GraphRAG.
• Full-stack development experience with Node, React, React Native, or Django.
• Experience with Go, Java, C++, open-source AI/ML projects, or applied AI research publications.

Culture & Benefits

• Health, life, disability, dental, and vision insurance.
• 401(k) plan with a 3% company contribution and a 3% company match.
• Generous paid time off, a birthday PTO gift day, and 11 federal holidays.
• Three weeks of paid maternity and paternity leave.
• Annual technology allowance, healthcare stipends, tuition reimbursement, referral bonuses, and professional recognition awards.
• Flexible daily start and stop times for most projects and positions.

Hiring process

• First-round interviews are conducted through the AI-assisted application “Alex Taylor” and take approximately 35 minutes.
• Human staff review every first-round interview; selected candidates meet with the HR director and hiring manager in a second-round interview.
• Selected applicants undergo a security investigation for Top Secret eligibility.