Staff/Principal GenAI Engineer - AIENGG 26-00212

NavitsPartners • Brooklyn, NY

27d

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