Title: Sr. AI/ML Engineer
Location: Plymouth, MA (Open to 100% Remote)
Target Start Date: 2/10/2026
Type: (C, CTH, D) DPay Rate / Salary (Ranges OK): $125,000-$165,000
Job Description
Overview:
We are seeking a Senior Data Scientist to build and deploy production-ready machine learning and generative AI solutions. This role focuses on developing intelligent systems using LLMs, agent-based architectures, and scalable MLOps practices.
Key Responsibilities:
Build, deploy, and optimize ML and generative AI solutions in production Develop Retrieval Augmented Generation (RAG) pipelines and AI agents Implement agent orchestration patterns (MCP, A2A) using Lang Chain and Lang Graph Design MLOps pipelines for model training, deployment, monitoring, and feedback loops Collaborate with data engineering teams on data pipelines and features Mentor junior data scientists and contribute to AI best practices Required Experience 5 years in data science or machine learning Strong experience with LLMs, generative AI, and prompt/context engineering Hands-on RAG and vector database experience Proficiency in Python, PyTorch and/or Tensor Flow Solid MLOps experience (CI/CD, model versioning, monitoring)Experience deploying models on cloud platforms (AWS, Azure, or GCP)Strong communication and stakeholder engagement skills
Preferred Experience:
Regulated industry experience (finance, healthcare)Experience with OpenAI / Anthropic APIsVector databases (Pinecone, Weaviate, Chroma)Large-scale or distributed model deployment Open-source ML/AI contributions Tech Stack Python, SQLPyTorch, Tensor Flow, scikit-learn Lang Chain, Lang Graph, Hugging Face Docker, Kubernetes, MLflowAWS / Azure / GCPVector databases Bonus/
Soft Skills:
The team values adaptability, eagerness to learn, and excitement about AI/ML and GenAI.Company culture is collaborative and fast-paced, with a focus on innovation. The team is currently using Snowflake and Azure, with professional services support for MLOps setup.
