Jobs via Dice ยท 1 day ago
Senior GenAI Engineer - AIENGG 26-00213
Queens, NY
Full-time
Onsite
Senior Level, Lead/Staff
8+ years expDice is the leading career destination for tech experts at every stage of their careers. Our client, Compu-Vision Consulting, Inc., is seeking a highly skilled Senior GenAI Engineer to join an enterprise Generative AI delivery team working on cutting-edge AI solutions for large-scale business environments. In this role, you will design, build, and deploy production-grade LLM-powered applications that solve real-world business problems.
Computer Software
Responsibilities
Design, fine-tune, and deploy LLM-driven solutions using prompt engineering, RAG pipelines, and agent-based frameworks
Improve model performance, reliability, and scalability in enterprise environments
Own and maintain high-quality, efficient, and reusable code in Python and SQL
Apply best practices for scalability, maintainability, and performance using frameworks such as LangChain and LangGraph
Support deployment and operation of GenAI applications on cloud platforms (AWS, Azure, or Google Cloud Platform)
Optimize cloud resources and contribute to robust CI/CD processes
Work closely with product owners, data scientists, and business SMEs to translate business requirements into scalable technical solutions
Clearly communicate complex technical concepts to non-technical audiences
Provide technical guidance and mentorship to junior engineers
Promote best practices in machine learning, GenAI, and LLM system development
Stay current with the latest advancements in Generative AI and LLM research
Experiment with emerging tools, techniques, and frameworks to drive continuous improvement
Qualification
Required
8+ years of professional experience building and deploying machine learning models and ML systems in production environments
3+ years of hands-on experience with Large Language Models (LLMs) and Generative AI techniques
Strong expertise in prompt engineering
Strong expertise in Retrieval-Augmented Generation (RAG)
Strong expertise in agent-based LLM architectures
Expert-level proficiency in Python
Hands-on experience with LangChain and/or LangGraph
Strong working knowledge of SQL
Experience deploying GenAI applications on AWS, Azure, or Google Cloud Platform
Familiarity with cloud-native architectures, CI/CD pipelines, and scalable ML deployments
Excellent communication skills with the ability to collaborate effectively with business stakeholders and subject matter experts
Company
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0-1 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase