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# AI Developer

- **Company:** KODIAK GAS SERVICES
- **Location:** The Woodlands, TX, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Cloud Computing, Information Engineering, Knowledge Management, Named Entity Recognition, Unstructured Data, Transaction Processing (Computing), Enterprise Software Applications, Large Language Models, Multi-Agent Systems, Prompt Engineering, Generative AI, Information Technology, Virtual Agents, Microservices
- **Published:** July 4, 2026
- **Apply:** https://www.juju.com/job/00000000gdmhx6

## About the Role

+ Hands-on experience with agentic AI development and orchestration.

 + Strong understanding of LLM prompt engineering, embeddings, and foundational Retrieval-Augmented Generation (RAG) concepts.

 + Proficiency in building microservices and integrating them into complex systems., + Bachelor's or Master's degree in Computer Science, Data Science, AI/ML, or related field (or equivalent experience).

 + Certifications in AI/ML, Cloud Platforms, or Data Engineering are a plus.

Work Experience

 + 3+ years of experience in AI/ML development, microservices architecture, or enterprise system integration.

 + Prior experience with LLM-based solutions and agent frameworks preferred.

## Description

Responsible for the design and implementation of intelligent AI agents that streamline transaction processing, enhance knowledge research, and optimize policy servicing workflows. You will play a key role in integrating Large Language Models (LLMs) and AI Agents into enterprise systems, driving automation for both structured and unstructured data., + Develop and deploy prompt-based single-agent systems for targeted workflows.

 + Integrate AI models into subsystems supporting transactions, knowledge management, and service operations.

 + Design and implement multi-agent orchestration for advanced RAG pipelines.

 + Build and maintain API microservices to expose AI capabilities (e.g., entity extraction).

 + Collaborate on dataset creation for model fine-tuning and continuous improvement.

 + Partner with domain experts to enhance model accuracy, mitigate hallucinations, and ensure compliance.


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