Hybrid ML Engineer for LLM & AI Systems (Nashua)

Kelly Services; Boston (MA); Hybrid; USD 110,000 - 124,000; Full time

Benefits offered by this job

Medical plan

Dental coverage

Vision coverage

401(k) retirement plan

Performance bonus

Job summary

Motion Recruitment Partners in Nashua, NH is seeking a Machine Learning Engineer to turn AI research into dependable product capabilities in a hybrid role. You will build and deploy large language model services, retrieval components, and agent-based workflows at scale.

The role emphasizes MLOps, observability, and responsible AI, with focus on Python, AWS and Kubernetes. Candidates should have extensive experience building production ML systems for enterprise use.

Qualifications

• Significant hands-on experience in developing and productionizing ML solutions.
• Experience with large language models, autonomous agents, and multi-step AI workflows.
• Proficiency in retrieval-augmented generation, embeddings, vector indexing and semantic search.
• Understanding of MLOps practices, experiment tracking and model release processes.
• Professional Python engineering experience.

Responsibilities

• Engineer AI-driven product features that help professional users search, synthesize, and act on complex information.
• Develop resilient services and platform patterns for large-scale, distributed ML workloads.
• Create orchestration layers that connect LLMs, retrieval services, tools, and agent-based processes.
• Collaborate with product engineering, data, infrastructure, and cybersecurity teams to meet enterprise standards.

Skills

ML engineering

LLMs

Autonomous agents

RAG

Embeddings

Python

AWS

Kubernetes

MLOps

Education

Doctoral degree

CS/AI/Engineering degree

Tools

Kubernetes

AWS

Job description

Motion Recruitment Partners in Nashua, NH is seeking a Machine Learning Engineer to turn AI research into dependable product capabilities in a hybrid role. You will build and deploy large language model services, retrieval components, and agent-based workflows at scale.

The role emphasizes MLOps, observability, and responsible AI, with focus on Python, AWS and Kubernetes. Candidates should have extensive experience building production ML systems for enterprise use.