Senior AI Language Model Engineer

Oxy • Houston, TX

1d • Onsite

About The Position

Oxy produces, markets and transports oil and natural gas to maximize value and provide resources fundamental to life. The company leverages its global leadership in carbon management to advance lower-carbon technologies and products. Headquartered in Houston, Oxy primarily operates in the United States, Middle East and North Africa. Oxy strives to attract and retain talented employees by investing in their professional development and providing rewarding opportunities for personal growth. Our goal is to meet the highest employer standards by ensuring the health and safety of our employees, protecting the environment and positively impacting our communities where we do business. We are looking for an experienced and innovative individual contributor to fill the position of AI Language Model Engineer within our AI Center of Excellence group based in Houston, TX.

Requirements

• PhD in Engineering, Computer Science, Data Science, Artificial Intelligence, or a related field.
• Very strong proficiency in Python, with hands-on experience using version control systems.
• Strong foundation in large language models (LLMs) and natural language processing (NLP), with practical experience demonstrated through GitHub repositories, research publications, or a portfolio.
• Familiarity with modern NLP/LLM frameworks and libraries such as LangChain, LangGraph, Hugging Face Transformers, and vector databases.
• Experience with Retrieval-Augmented Generation (RAG), multi-agentic systems, and agentic frameworks (e.g., Strands Agents SDK), with the ability to design, build, and deploy end-to-end AI agents and orchestration pipelines.
• Familiarity with cloud platforms such as AWS (EC2, S3, SageMaker, Bedrock, etc.) through projects.
• Strong communication skills for collaborating with teams and presenting technical results.

Nice To Haves

• Familiarity with any front-end development (e.g., React) to build user-facing applications.
• Ability to end-to-end develop and deploy full-stack applications — from data ingestion and model development through back-end APIs to front-end interfaces — in addition to the core data science and ML work.
• Experience with database systems (SQL and/or NoSQL) and data pipeline orchestration tools (e.g., Step Functions).
• Experience working in fast-paced, startup-like, or R&D-heavy environments.

Responsibilities

• End-to-end design, research, development, and deployment of language engineering use cases, with continuous client engagement and collaboration.
• Hands-on development in a shared codebase with the team.
• Back-end engineering with AWS, Terraform, etc.
• Working front-end proficiency when needed.
• Design workflows for language model deployment.
• Perform prompt engineering, pre-processing, and post-processing to optimize output suitability.
• Fine-tune and optimize multi-agentic systems to satisfy use case requirements.
• Work with domain experts to assess model quality.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Ph.D. or professional degree