GenAI Data Engineer

Motion Recruitment; Scituate (MA); Remote; USD 120,000 - 125,000; Full time

Job summary

Join a fast-growing LegalTech SaaS company as a GenAI Data Engineer. You'll build and maintain data pipelines while implementing cutting-edge GenAI solutions and collaborating with cross-functional teams. This is a fully remote position aimed at data professionals passionate about AI and legal analytics.

Benefits

100% remote with flexible hours

Impact on LegalTech and AI analytics

Collaborative and high-performance team environment

Qualifications

• 3–6 years of experience in data engineering or data infrastructure roles.
• Hands-on experience with LLM tools and frameworks (e.g., LangChain, OpenAI APIs).
• Proficiency in SQL and Python for AI/data pipelines.

Responsibilities

• Build, optimize, and maintain scalable data pipelines and ETL processes.
• Implement RAG-based GenAI workflows using tools like LangChain and OpenAI.
• Integrate and manage vector databases to support analytics.

Skills

SQL

Python

AWS

Data normalization

Data architecture

Vector databases

Job description

Join to apply for the GenAI Data Engineer role at Motion Recruitment

Join to apply for the GenAI Data Engineer role at Motion Recruitment

Location: Fully Remote (U.S.-based, New England preferred)

Industry: LegalTech / SaaS

Level: Mid-Level (3–6 years experience)

About Us

We’re a fast-growing LegalTech and analytics SaaS company used by the nation’s top law firms, law schools, and legal recruiters to track and analyze legal talent flows. Our platform helps drive smarter hiring, retention, and market insights in the legal industry using modern data infrastructure and emerging AI capabilities.

As we expand our product offering with more GenAI features, we’re looking for a mid-level Data Engineer with hands-on experience in LLMs, RAG architecture, and vector databases to help us scale.

What You’ll Do

• Build, optimize, and maintain scalable data pipelines and ETL processes
• Implement RAG-based GenAI workflows using tools like LangChain and OpenAI
• Integrate and manage vector databases (e.g., Pinecone, Weaviate, FAISS)
• Work with structured and unstructured data to support analytics and AI-driven search
• Collaborate cross-functionally with backend engineers, product, and data science
• Support legal industry-specific use cases like entity resolution, summarization, and document classification
  
  

What We’re Looking For

• 3–6 years of experience in data engineering or data infrastructure roles
• Proficiency in SQL and Python (especially for AI/data pipelines)
• Hands-on experience with AWS services (e.g., S3, Lambda, RDS, ECS)
• Experience with LLM tools and frameworks (e.g., LangChain, LlamaIndex, OpenAI APIs)
• Comfortable working with vector databases and retrieval-based AI
• Strong understanding of scalable data architecture and data normalization
  
  

Nice-to-Haves

• Experience with RAG pipelines in production
• Familiarity with legal data or professional services industries
• Exposure to orchestration tools like Airflow, Prefect, or similar
• Experience with embeddings, chunking strategies, and prompt engineering
  
  

Why Join Us?

• Make an impact on the future of LegalTech and AI-powered analytics
• Collaborate with a small, passionate, high-performance team
• Own meaningful projects that ship fast and evolve quickly
• 100% remote with flexible hours (New England-based candidates preferred)
  
  

Posted By: Phillip Perkins

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Staffing and Recruiting

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