Generative AI Application Developer

NOV - Houston, TX

Full-time - Mid Level

Houston, TX

Machinery Manufacturing

About the position

As a Generative AI Application Developer specializing in Large Language Models (LLMs), you will be responsible for creating advanced generative AI applications, including chatbots, Retrieval Augmented Generation (RAG), report automation, and fine-tuned models. This role involves collaborating with cross-functional teams to integrate generative AI tools and systems, driving the success of AI initiatives and fostering innovation within the organization.

Responsibilities

• Collaborate closely with product, technology, and data science teams to ensure the seamless integration of generative AI tools and systems
• Develop generative AI applications, particularly Large Language Models (LLM), using techniques such as Retrieval Augmented Generation (RAG), fine-tuning, and prompt engineering
• Create and process datasets for Generative AI applications
• Design and prototype model workflows utilizing relevant cloud resources (any of Azure, AWS, GCP, Databricks, etc.)
• Deploy the Generative application in a web application (container or server) or business intelligence environment
• Evaluate and monitor the performance and output quality of generative AI models
• Stay updated with the latest trends and developments in Generative AI (LLM) and apply this knowledge to improve internal processes and customer services.

Requirements

• Bachelor's degree in computer science, engineering, mathematics, or equivalent
• 2+ years of experience in industry designing, implementing, or consulting on developing Large Language Model applications, including modeling, evaluation, and integration
• 5+ years of experience in industry specific technology domain areas (e.g., software development, cloud solution architecture, data & analytics)
• Strong understanding of Generative AI models, concepts, capabilities, and usage patterns
• Proven expertise in architecting and prototyping systems using generative AI technologies
• Full stack development experience is necessary, including strong Python and prototyping web applications (React, JavaScript)
• Exceptional communication skills to articulate technical concepts to non-technical stakeholders and facilitate effective collaboration across different departments.

Nice-to-haves

• Master's degree in computer science, engineering, mathematics, or equivalent
• Expertise in NLP with deep learning application experience
• Experience with LangChain or other similar abstraction/orchestration library
• Proficiency with HuggingFace or other platforms
• Understanding of data science and machine learning lifecycle (MLOps)
• API development experience
• Knowledge of compliance with industry standards and regulations, data governance and security, and responsible AI practices.

Benefits

• Disability insurance
• Paid time off
• Retirement plan