AI Engineer

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

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

Requirements

• Minimum five years of experience in data science, ML, or related fields
• Proven expertise in generative AI technologies including large language models, prompt design, and context management
• Practical experience building RAG systems using vector databases and semantic search
• Experience with LangChain, LangGraph and agent based architectures
• Familiarity with MCP and A2A context engineering patterns
• Strong grasp of traditional ML algorithms such as regression, classification, clustering, and time series
• Solid MLOps background including CI/CD, model versioning, and monitoring tools
• Experience with the Hugging Face ecosystem (Transformers, Datasets, Hub)
• Hands on experience with TensorFlow and/or PyTorch for model development
• Advanced Python programming skills with production grade code experience
• Experience designing and implementing feedback loops for ongoing model improvement
• Experience deploying ML solutions on cloud platforms such as AWS, Azure, or GCP
• Excellent communication skills able to convey complex technical concepts to non technical stakeholders

Technologies

• Python
• SQL
• TensorFlow
• PyTorch
• scikit-learn
• LangChain
• LangGraph
• Hugging Face
• 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 (LTD) Insurance
• Life Insurance
• Day Care Reimbursement
• Tuition Assistance for graduate and undergraduate programs
• Award winning Wellness program