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# Data Scientist/ Engineer (Hybrid -Boston)

- **Company:** Shift
- **Location:** Boston, MA, United States
- **Salary:** $100,000.0 - $110,000.0
- **Contract:** Permanent contract
- **Skills:** LangGraph Framework, Application Programming Interfaces (APIs), Artificial Intelligence, Microsoft Azure, Software as a Service, Data Architecture, Web Browsers, Information Extraction, Machine Learning, Open Source Technology, Operational Databases, OpenAI, Systems Integration, Management of Software Versions, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Apache Spark, Model Validation, Agentic-AI, Data Lakes, CrewAI, Machine Learning Operations, Claude, Google Gemini, Agent SDK, GPT, Data Pipelines, Databricks, Agent2Agent Protocol
- **Published:** October 27, 2026
- **Apply:** https://www.careerbuilder.com/job-details/data-scientist-engineer-hybrid-boston-boston-ma--37bdfdca-9a9a-43f2-8e89-055b81eb0921

## About the Role

Data Science, Insurance, Artificial Intelligence (AI) Agents, Artificial Intelligence (AI), Web Browsers, Software as a Service (SaaS), Data Science, Small Company, Product/Service Launch, Structured Data, We are looking for candidates with diverse skills to help us build excellent technology solutions for our clients and be proficient in the following skills:

 * Expert proficiency in production-level object-oriented programming (OOP) for building scalable and reliable systems.
 * Proven hands-on experience with Large Language Models (LLMs) and generative AI techniques (including RAG, embeddings, prompt engineering, and model tuning), leveraging frameworks such as OpenAI/Anthropic or open-source variants.
 * Solid foundation in ML fundamentals with practical experience in the full machine learning lifecycle, including model evaluation, monitoring, versioning, and deployment in production environments.
 * Experience designing and implementing robust data pipelines for document, OCR, and multi-modal data workflows.
 * Agentic Frameworks: Experience with integrating frameworks like LangChain/LangGraph, OpenAI Agent SDK, CrewAI, A2A/MCP with Databricks or Azure-hosted models (e.g., DBRX, OpenAI GPT-5.3, Anthropic Claude, Google Gemini).
 * Demonstrated ability to effectively engage with clients, translate complex business needs into clear, actionable technical solutions, and manage stakeholder expectations.

Highly Desired Skills

 * Databricks Ecosystem: Deep expertise in Mosaic AI (formerly MosaicML), Unity Catalog, and Delta Lake. Good understanding of Spark data architecture is a plus.
 * Experience using MLflow for the full lifecycle: from experiment tracking and prompt engineering in the AI Playground to model evaluation.

## Description

* Your role will be to actively contributeto the US- Insurance roadmap and clients, and working on various data types such as structured data, free text, documents and images.
 * Build and productionize data pipelines (structured, text, documents, images) optimized for LLMs and multi-modal models.
 * Design, develop and deploy LLM-based solutions (RAG, embeddings, instruction tuning) for subrogation, claims handling, document understanding, and related use cases.
 * Experiment with the latest in Agentic AI technologies (Langchain/Langgraph, OpenAI Agent SDK, MCP, A2A) and develop MVP for the next generation of autonomous subrogation solutions.
 * Develop "Chain-of-Thought" and "ReAct" prompting strategies to ensure the agent can justify its liability percentages based on the Comparative Negligence laws of different jurisdictions.
 * Create custom "tools" for the agent, allowing it to query internal databases, call external weather APIs, or calculate impact force based on telemetry data.
 * Establish rigorous evaluation frameworks (LLM-as-a-judge) to ensure the agent's decisions are unbiased, legally sound, and explainable.
 * Ensure responsible-AI practices: privacy, hallucination mitigation, explainability and compliance.
 * Lead client workshops, present prototypes, gather feedback and help define roadmap priorities.