Oxy
oil and natural gas
SeniorAILanguageModelEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior AI Language Model Engineer at Oxy. Skills: AI Language Model Engineer, large language models (LLMs), natural language processing (NLP), Retrieval-Augmented Generation (RAG), multi-agentic systems, Python, AWS. End-to-end design, research, development, and deployment of language engineering use cases. Hands-on development in a shared codebase with the team”
What You'll Achieve.
maximize value; provide resources fundamental to life; advance lower-carbon technologies and products; meet the highest employer standards; ensuring the health and safety of our employees; protecting the environment; positively impacting our communities where we do business; optimize output suitability; satisfy use case requirements
Industry & Context.
optimize output suitability; satisfy use case requirements
Oxy does not offer sponsorship of employment-based nonimmigrant visa petitions for this role.
What They're Looking For.
Must Have
PhD in Engineering, Computer Science, Data Science, Artificial Intelligence, or a related field, Very proficiency in Python, hands-on experience using version control systems, foundation in large language models (LLMs) and natural language processing (NLP), practical experience demonstrated through GitHub repositories, research publications, or a portfolio, Experience with Retrieval-Augmented Generation (RAG), multi-agentic systems, and agentic frameworks (e.g., Strands Agents SDK), 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
Nice to Have
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), Experience with data pipeline orchestration tools (e.g., Step Functions), Experience working in fast-paced, startup-like, or R&D-heavy environments
What You'll Do.
and deployment of language engineering use cases
Hands-on development in a shared codebase with the team
Back-end engineering with AWS
Working front-end proficiency when needed
Design workflows for language model deployment
Perform prompt engineering
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
How You'll Work.
Team & Collaboration
continuous client engagement and collaboration; Hands-on development in a shared codebase with the team; collaborating with teams; presenting technical results
Communication Scope
communication skills for collaborating with teams and presenting technical results
Process & Methodology
design, build, and deploy end-to-end AI agents and orchestration pipelines, end-to-end develop and deploy full-stack applications
Full Job Description
Oxy [produces](https://url.uk.m.mimecastprotect.com/s/MsVsCxkWU14WzxDivh3Cy7O4c?domain=oxy.com/), [markets and transports](https://url.uk.m.mimecastprotect.com/s/dWO9CyPWUrzBpLKtQiZCx-Ef6?domain=oxy.com/) oil and natural gas to maximize value and provide resources fundamental to life. The company leverages its global leadership in [carbon management](https://www.oxy.com/operations/carbon-innovation/) to advance lower-carbon technologies and products. Headquartered in Houston, Oxy primarily operates in the United States, Middle East and North Africa. To learn more, visit [Oxy](https://www.oxy.com/) 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.** **Essential Job 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. **Qualifications:** * 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
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