Data Scientist/Engineer

Shift Technology

. Contribute to the US insurance roadmap and client work across structured data, free text, documents, and images .

Posted 9/17/2026full-timeBoston • Massachusetts • United StatesMid-LevelSenior💰 $100,000 - $110,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and deploying LLM-based solutions, including data pipeline development and generative AI techniques. Proficient in engaging with clients to translate business needs into technical solutions while ensuring responsible AI practices.

Highest-signal resume keywords

Large Language Models (LLMs)Object-Oriented Programming (OOP)Data Pipeline DevelopmentGenerative AI TechniquesMachine Learning Lifecycle

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Production-Level ProgrammingRAGEmbeddingsPrompt EngineeringModel TuningDocument WorkflowsOCRMLflowMosaic AIUnity Catalog

Soft Skills

Client EngagementStakeholder Management

Tools & Technologies

OpenAILangChainDatabricksAzureCrewAIA2A/MCP

Industry Keywords

Comparative NegligenceResponsible AIExplainabilityPrivacyHallucination Mitigation

Tech Stack

Tools & technologies

AzureReactSparkUnity

About the role

Key responsibilities & impact

Contribute to the US insurance roadmap and client work across structured data, free text, documents, and images
Build and productionize data pipelines optimized for LLMs and multi-modal models
Design, develop, and deploy LLM-based solutions using RAG, embeddings, and instruction tuning
Experiment with agentic AI technologies and develop MVPs for autonomous subrogation solutions
Develop Chain-of-Thought and ReAct prompting strategies for liability decisions based on Comparative Negligence laws
Create agent tools to query internal databases, call external weather APIs, and calculate impact force from telemetry data
Establish LLM-as-a-judge evaluation frameworks for unbiased, legally sound, and explainable decisions
Ensure responsible-AI practices covering privacy, hallucination mitigation, explainability, and compliance
Lead client workshops, present prototypes, gather feedback, and help define roadmap priorities
Work alongside technical experts as part of the global Data Science team to roll out enterprise-level solutions

Requirements

What you’ll need

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
Experience leveraging OpenAI/Anthropic or open-source variants
Solid foundation in ML fundamentals and practical experience across the full machine learning lifecycle, including model evaluation, monitoring, versioning, and production deployment
Experience designing and implementing data pipelines for document, OCR, and multi-modal data workflows
Experience integrating LangChain/LangGraph, OpenAI Agent SDK, CrewAI, A2A/MCP with Databricks or Azure-hosted models
Ability to engage effectively with clients, translate complex business needs into actionable technical solutions, and manage stakeholder expectations
Deep expertise in Mosaic AI, Unity Catalog, and Delta Lake is highly desired
Understanding of Spark data architecture is a plus
Experience using MLflow for the full lifecycle is highly desired

Benefits

Comp & perks

Flexible remote and hybrid working options
Competitive Salary and a variable component tied to personal and company performance
Multiple Learning and Development opportunities, including Focus Fridays, a half-day each month to focus on learning and personal growth
Generous PTO and paid holidays
Mental health benefits
2 MAD Days per year (Make A Difference Days for paid volunteering)
Additional benefits may be offered by country, based on your eligibility