AI/ML Engineer III – Production LLM & Multimodal (Remote)

Technergetics; Town of Vernon (NY); Hybrid; USD 125,000 - 175,000; Full time

Benefits offered by this job

Health insurance

401(k) plan

Flexible start times

Tuition reimbursement

Job summary

Technergetics is seeking an AI/ML Engineer III to design, develop, and deploy advanced AI capabilities in a hybrid on-site setting near Utica/Rome, NY. You will work with a high-performing team of full-stack developers to build production systems around foundation models for government and commercial customers.

The role emphasizes agentic workflows, retrieval-augmented generation, and multimodal ML, with contingency funding and a full-time exempt position.

Qualifications

• Master’s degree in computer science, computer engineering, AI, ML, or related field; Ph.D. preferred.
• Bachelor’s degree with 7+ years of directly relevant experience considered in lieu of Master’s.
• Strong Python skills and experience with modern ML tooling and production systems.

Responsibilities

• Lead design, development, and deployment of multi-modal ML architectures.
• Build agentic systems on top of large language models for production use.
• Implement retrieval-augmented generation pipelines grounded in authoritative data sources.
• Define and run evaluation for model and agent behavior in production.
• Optimize model inference for production and edge deployment scenarios.
• Collaborate with cross-functional teams; mentor junior staff.

Skills

Python

LLM deployment

Multimodal ML

Agent frameworks

Machine learning systems

Team leadership

Education

Master’s degree in CS/AI/ML

Ph.D. preferred

Bachelor’s + 7+ years experience

Tools

Kubernetes

Docker

AWS/Azure/Google Cloud

PyTorch

Hugging Face

Job description

Technergetics is seeking an AI/ML Engineer III to design, develop, and deploy advanced AI capabilities in a hybrid on-site setting near Utica/Rome, NY. You will work with a high-performing team of full-stack developers to build production systems around foundation models for government and commercial customers.

The role emphasizes agentic workflows, retrieval-augmented generation, and multimodal ML, with contingency funding and a full-time exempt position.