Technergetics
AI/ML Engineer III
$125K–$175K
Utica-Rome NY Hybrid or Remote +2 · Remote · Full-time · Posted Aug 20, 2026
- Location
- Utica-Rome NY Hybrid or Remote
Utica, New York, United States
United States - Experience
- At least 3 years in machine learning or AI systems engineering, including at least 1 year building with LLMs or other foundation models in production. A bachelor’s degree may substitute for a master’s with 7 or more years of directly relevant experience.
- Education
- Generally requires a master’s degree in computer science, computer engineering, AI, ML, or a closely related discipline. A bachelor’s degree in one of these fields plus 7 or more years of directly relevant professional experience will be considered in lieu of a master’s degree. A Ph.D. is strongly preferred.
- Visa sponsorship
- Only U.S. citizens are eligible to apply due to the security clearance requirement.
About the job
Designs, builds, evaluates, and deploys production AI/ML systems—especially foundation-model, agentic, retrieval-augmented, and multimodal capabilities—for government and commercial customers.
What you'll do
- Lead development and deployment of multimodal ML architectures, LLM-based agentic systems, and RAG pipelines; evaluate production behavior and optimize inference.
- Integrate ML libraries, foundation models, and agent frameworks into software products; develop data pipelines and support the software development lifecycle.
- Provide technical leadership and mentoring, collaborate with customers and cross-functional teams, and contribute to R&D proposals.
What they ask for
- At least 3 years of professional machine learning or AI systems engineering experience, including at least 1 year building with LLMs or other foundation models in production.
- Strong Python proficiency; working knowledge of server-side development, containers and deployment, a major cloud platform, Linux, CI/CD, and automated Python testing.
- Demonstrated experience with PyTorch and Hugging Face; production LLM applications, agent frameworks, RAG, LLM evaluation, model adaptation and serving, AI assurance, and multimodal models.
- Technical leadership and Agile experience; strong communication and teamwork skills. U.S. citizenship and eligibility to obtain and maintain at least Top Secret access are required.
Nice to have
- Ph.D. in a relevant field; exposure to DoD cloud and software factory environments, ATO/RMF, or federal AI governance.
- Experience with distributed training, knowledge graphs/GraphRAG, full-stack development, compiled languages, or open-source AI/ML and applied research.
Pay
$125,000–$175,000 annually (base salary)
Tools
Python, Kubernetes, Docker, AWS, Azure, Google Cloud, PyTorch, Hugging Face
AI focus
Build and deploy production foundation-model systems, including agentic workflows, RAG, multimodal ML, model evaluation and adaptation, inference optimization, and AI assurance.
Model-written summary · the original posting is authoritative