Sr AI Language Model Engineer

Oxy; Houston (TX); On-site; USD 180,000 - 220,000; Full time

Job summary

Oxy, based in Houston, TX, seeks an experienced AI Language Model Engineer to join the AI Center of Excellence. You will drive end-to-end development of language-based use cases with direct client engagement.

You will work in a collaborative codebase, performing back-end work on AWS and Terraform, with front-end skills used as needed to deliver end-to-end solutions. Responsibilities include designing deployment workflows for LLMs, performing prompt engineering, tuning multi-agent systems, and

Qualifications

• PhD in Engineering, CS, DS, AI, or related field.
• Strong Python proficiency with version control.
• Deep knowledge of LLMs and NLP with demonstrable work.
• Experience with LangChain, LangGraph, Transformers, and vector databases.
• Experience with RAG, multi-agentic systems, and agentic frameworks.
• Cloud experience with AWS (EC2, S3, SageMaker, Bedrock).
• Strong communication and collaboration skills.
• Frontend basics (React) a plus.
• End-to-end full-stack development from data to APIs.
• Experience with SQL/NoSQL and orchestration tools like Step Functions.

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.

Skills

Python

NLP

LLMs

Prompt engineering

Multi-agent systems

GitHub

Communication skills

Education

PhD in Engineering, Computer Science, Data Science, Artificial Intelligence, or related field

Tools

LangChain

LangGraph

Hugging Face Transformers

Vector databases

AWS

SageMaker

Bedrock

Terraform

React

Step Functions

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.

• 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.