AI Engineer

Rockland Trust is seeking an experienced AI Engineer to design, develop, and deploy advanced machine learning and generative AI solutions. The role centers on building intelligent systems that blend traditional ML methods with cutting edge generative technologies to drive business value. The position is onsite in Massachusetts and calls for a minimum of five years of relevant experience.

Responsibilities

• Design, develop, and deploy production‑grade machine learning models and generative AI applications using modern frameworks and methodologies
• Build and optimize Retrieval Augmented Generation pipelines for enterprise knowledge systems and intelligent document processing
• Implement Model Context Protocol and agent-to-agent context engineering solutions to orchestrate complex AI workflows
• Develop feedback loops and monitoring systems to continuously improve model performance and ensure reliability
• Architect and maintain MLOps pipelines for model training, versioning, deployment, and monitoring
• Create AI agents using 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 contribute to the development of AI best practices and standards

Requirements

• 5+ years of experience in data science, machine learning, or a related field
• Strong expertise in generative AI technologies including large language models, prompt engineering, and context management
• Hands-on experience building RAG systems with vector databases and semantic search
• Proficiency with LangChain, LangGraph, and agent-based architectures
• Experience with Model Context Protocol and A2A context engineering patterns
• Deep understanding of traditional machine learning algorithms such as regression, classification, clustering, and time series
• Strong MLOps experience including CI/CD pipelines, model versioning, and monitoring frameworks
• Proficiency with the Hugging Face ecosystem (Transformers, Datasets, Hub)
• Experience with TensorFlow and/or PyTorch for model development
• Strong Python programming skills with production‑grade code development experience
• Experience designing and implementing feedback loops for continuous model improvement
• Knowledge of cloud platforms (AWS, Azure, or GCP) for ML deployment
• Excellent communication skills with the ability to explain complex technical concepts to non‑technical stakeholders

Technologies

• Python, SQL, TensorFlow, PyTorch, scikit-learn
• LangChain, LangGraph
• Hugging Face, Transformers, Datasets, Hub
• Docker, Kubernetes
• MLflow, Weights & Biases
• AWS, Azure, GCP
• Pandas, NumPy
• Pinecone, Weaviate, Chroma
• OpenAI API, Anthropic Claude API
• Transformers, Datasets, Hugging Face Hub
• Git

Benefits

• Competitive compensation with performance incentive awards
• Health Insurance
• Dental Insurance
• 401K plan
• DC Plan
• Long-term Disability Insurance
• Life Insurance
• Day Care Reimbursement
• Tuition Assistance for graduate and undergraduate programs
• Award-winning Wellness program