Senior Generative AI Engineer — RAG & MLOps Expert

Rockland Trust; Massachusetts; On-site; USD 140,000 - 200,000; Full time

Benefits offered by this job

Health Insurance

Dental Insurance

401K plan

DC Plan

Long term Disability insurance

Life Insurance

Tuition Assistance

Wellness program

Job summary

Rockland Trust is seeking an experienced AI Engineer to develop and deploy advanced ML and generative AI solutions in Massachusetts onsite, delivering business value through intelligent systems.

The role focuses on production-grade ML models, RAG implementations, and scalable AI workflows using TensorFlow, PyTorch, LangChain, and cloud platforms. You will mentor junior data scientists and help establish AI best practices across the team.

Qualifications

• Five+ years of experience in data science, ML, or related field.
• Proven expertise in generative AI technologies including LLMs, prompt design, and context management.
• Experience building RAG systems using vector databases and semantic search.
• Familiarity with LangChain, LangGraph and agent-based architectures.
• Strong MLOps background including CI/CD, model versioning, and monitoring tools.
• Hands-on experience with TensorFlow and/or PyTorch for model development.

Responsibilities

• Create and implement production ready ML models and generative AI applications using modern frameworks and approaches
• Develop and optimize Retrieval Augmented Generation pipelines for enterprise knowledge bases and automated document workflows
• Integrate Model Context Protocol (MCP) and agent to agent context engineering solutions to orchestrate complex AI workflows
• Establish feedback loops and monitoring to drive continuous performance improvements and reliability
• Design and sustain MLOps pipelines covering training, versioning, deployment, and monitoring
• Build AI agents with LangChain and LangGraph to enable autonomous decision making and workflow automation
• Collaborate with data engineering teams to construct robust data pipelines and feature engineering workflows
• Mentor junior data scientists and help establish AI best practices and standards

Skills

Data science

Machine learning

Generative AI

LangChain

LangGraph

Context engineering

Python

TensorFlow

PyTorch

MLOps

CI/CD

Cloud platforms

Pandas

NumPy

Hugging Face

AWS

Azure

GCP

Tools

Python

SQL

TensorFlow

PyTorch

scikit-learn

LangChain

LangGraph

Hugging Face

Docker

Kubernetes

MLflow

Weights & Biases

AWS

Azure

GCP

Pinecone

Weaviate

Chroma

OpenAI API

Anthropic Claude API

Transformers

Datasets

Hugging Face Hub

Git

Job description

Rockland Trust is seeking an experienced AI Engineer to develop and deploy advanced ML and generative AI solutions in Massachusetts onsite, delivering business value through intelligent systems.

The role focuses on production-grade ML models, RAG implementations, and scalable AI workflows using TensorFlow, PyTorch, LangChain, and cloud platforms. You will mentor junior data scientists and help establish AI best practices across the team.