Staff/Principal GenAI Engineer - AIENGG 26-00212

NavitsPartners • Brooklyn, NY

6d

About The Position

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.

Requirements

• 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
• 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
• Expert-level proficiency in Python
• Strong hands-on experience with LangChain and/or LangGraph
• Solid working knowledge of SQL
• Experience building and deploying GenAI applications on AWS, Azure, or GCP
• Familiarity with scalable architectures, CI/CD pipelines, and cloud-native services
• Excellent communication skills with the ability to collaborate effectively with business stakeholders and subject matter experts

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 GCP)
• 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

What This Job Offers

• Career Level: Mid Level
• Education Level: No Education Listed