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    Home/Jobs/AI Software Engineer, Legal Prompting & LLM Dev.

    AI Software Engineer, Legal Prompting & LLM Dev.

    Nixon Peabody

    Boston / Laayoune / Chicago / Old City / Los Angeles / New York City / Rochester / CA / NY
    4-6 years
    Today
    ₹15–28 LPA
    Full-time
    Remote

    Skills Required

    LLM
    RAG
    LangChain
    LlamaIndex
    OpenAI
    Anthropic
    Azure OpenAI
    Vector Database
    Embeddings
    Prompt Engineering
    Python
    TypeScript
    JavaScript
    C#
    .NET

    Description

    The AI Software Engineer, Legal Prompting & LLM Development role at Nixon Peabody involves building production-grade applications that interact with Large Language Models (LLMs) to deliver cutting-edge solutions to attorneys and clients.

    Company: Nixon Peabody

    Role: AI Software Engineer, Legal Prompting & LLM Dev.

    Location: Boston, MA; Chicago, IL; Los Angeles, CA; New York City, NY; Rochester, NY; San Francisco, CA; Washington, DC; Remote

    Experience:

    • 4-6 years of production-level software engineering experience
    • Prior experience developing software solutions in the legal industry strongly preferred

    Key Skills:

    • TypeScript/JavaScript
    • C#
    • Python
    • Java
    • RESTful APIs
    • SQL databases
    • NoSQL
    • vector stores
    • LLM APIs (OpenAI, Anthropic, Cohere, Azure OpenAI)
    • prompt engineering techniques
    • Model Context Protocol (MCP) servers
    • orchestration frameworks (LangChain, LlamaIndex, Semantic Kernel)
    • RAG pipelines
    • evaluation frameworks (Ragas, DeepEval, promptfoo)
    • LLM observability platforms
    • containerization (Docker)
    • CI/CD
    • cloud deployment (Azure, AWS, GCP)

    Qualification:

    • Bachelor’s degree in Computer Science, Engineering, or a related technical field
    • Legal background highly preferred (e.g., J.D., paralegal, legal tech industry experience)

    Role Focus:

    • Design, develop, and deploy LLM-integrated applications
    • Develop backend services across the Microsoft stack
    • Build and maintain RESTful and event-driven APIs
    • Write and refine persona-based prompts
    • Build prompt evaluation harnesses
    • Design, build, and operate Model Context Protocol (MCP) servers
    • Develop multi-step and multi-agent workflows
    • Implement guardrails and content filters

    Additional responsibilities:

    • Perform other duties as assigned
    • Collaborate with attorneys, legal professionals, and product teams

    Nice to have:

    • Demonstrated experience in legal practice or support roles
    • Experience with vector databases (e.g., Pinecone, Weaviate, pgvector, Azure AI Search)
    • Familiarity with LangGraph, LlamaIndex, or Pydantic AI

    Other:

    • A career at Nixon Peabody offers the opportunity to do work that matters
    • The firm provides fast growth, connectedness, and training in business and law
    • The work environment promotes success for clients and employees

    Prepare for this role

    Recommended resources to build the skills for this position. Sponsored.

    Python 3 Programming Specialization

    Coursera

    Intermediate Python covering classes, inheritance, APIs, and data processing.

    Python for Everybody Specialization

    Coursera

    Learn Python from scratch — variables, data structures, web scraping, and databases.

    Generative AI with Large Language Models

    Coursera

    Comprehensive LLM course covering transformer architecture, fine-tuning, RLHF, and deployment.

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