Staff/Principal GenAI Engineer - AIENGG 26-00212

Title: Staff/Principal GenAI Engineer

Location: NYC, NY

Note: Possible Contract-to-Hire

Role Overview

We are seeking experienced Generative AI engineers with strong Large Language Model (LLM) expertise to help solve complex business problems for large enterprise customers. You will be a key contributor within a Generative AI delivery organization, working on high-impact GenAI initiatives alongside cross-functional engineering teams.

The organization has a proven track record of delivering industry-leading solutions, including multi-agent LLM systems, Retrieval-Augmented Generation (RAG) architectures, and open-source LLM deployments for major enterprises.

Required Skills

• Experience

  • 8+ years of professional experience for Senior GenAI Engineer

  • 10+ years of professional experience for Staff/Principal GenAI Engineer

  • Proven background in building and deploying machine learning models and production ML systems

• Generative AI & LLM Expertise

  • 3+ years of hands-on experience with LLMs and Generative AI techniques

  • Strong expertise in:

    • Prompt engineering

    • Retrieval-Augmented Generation (RAG)

    • Agent-based LLM architectures

• Programming & Frameworks

  • Expert-level proficiency in Python

  • Strong hands-on experience with LangChain and/or LangGraph

  • Solid working knowledge of SQL

• Cloud & Infrastructure

  • Experience building and deploying GenAI applications on AWS, Azure, or Google Cloud Platform

  • Familiarity with scalable architectures, CI/CD pipelines, and cloud-native services

• Communication & Collaboration

  • Excellent communication skills with the ability to collaborate effectively with business stakeholders and subject matter experts

Roles & Responsibilities

• Develop and Optimize LLM Solutions

  • Design, implement, fine-tune, and deploy LLM-based solutions using prompt engineering, RAG pipelines, and agentic frameworks

  • Drive performance, reliability, and scalability improvements in GenAI systems

• Codebase Ownership

  • Own and maintain high-quality production code in Python and SQL

  • Build reusable, modular components following best practices for scalability and maintainability

  • Leverage frameworks such as LangChain and LangGraph effectively

• Cloud Deployment & Integration

  • Support deployment and operation of GenAI applications on cloud platforms (AWS, Azure, or Google Cloud Platform)

  • Optimize infrastructure usage and contribute to robust CI/CD workflows

• Cross-Functional Collaboration

  • Partner with product owners, data scientists, and business SMEs to define requirements and translate business needs into technical solutions

  • Clearly communicate technical concepts to non-technical stakeholders

• Mentorship & Technical Leadership

  • Provide guidance and mentorship to other engineers

  • Promote best practices in machine learning, LLM development, and GenAI system design

• Continuous Innovation

  • Stay current with the latest research and advancements in LLMs and Generative AI

  • Experiment with emerging techniques and tools to continuously improve solution quality and performance