Note: Possible Contract-to-Hire
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.
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 GCP
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
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
For more details reach at resumes@navitassols.com
About Navitas Partners, LLC: It is a certified WBENC and one of the fastest-growing Technical / IT staffing firms in the US providing services to numerous clients. We offer the most competitive pay for every position. We understand this is a partnership. You will not be blindsided and your salary will be discussed upfront.