Senior AI Language Model Engineer

OXY, Inc.; Houston (TX); On-site; USD 150,000 - 210,000; Full time

Job summary

OXY, Inc. in Houston, TX seeks an AI Language Model Engineer to drive end-to-end language model projects in the AI Center of Excellence. You will design, develop, and deploy use cases, engaging with clients and teammates across disciplines to deliver robust AI solutions.

Responsibilities include prompt engineering, preprocessing/post-processing, and optimizing multi-agent systems. A PhD and strong Python plus AWS experience are required to advance cutting-edge NLP capabilities.

Qualifications

• PhD in Engineering, CS, Data Science, AI or related field.
• Strong Python skills with version-control experience.
• Proven LLM/NLP background with publications, repos, or portfolio.
• Experience with LangChain, LangGraph, Transformers, and vector stores.
• Experience with RAG, multi-agent systems and agentic frameworks.

Responsibilities

• End-to-end design, research, development, and deployment of language use cases with client collaboration.
• Hands-on development in a shared codebase; back-end work with AWS and Terraform; front-end when needed.
• Design workflows for language model deployment; perform prompt engineering, preprocessing, and post-processing.
• Fine-tune and optimize multi-agent systems to meet use case requirements.
• Collaborate with domain experts to assess model quality.

Skills

Python

Version control

LLMs & NLP

Communication

Cloud platforms

Education

PhD in Engineering/CS/DS/AI

Tools

LangChain

LangGraph

Transformers

Vector databases

AWS (SageMaker, Bedrock)

Strands SDK

Job description

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 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.

Additional Desired Qualifications

• 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.

Occidental does not offer sponsorship of employment‑based nonimmigrant visa petitions for this role.

All qualified applicants will receive consideration for employment without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.