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# LLM Application Engineer

- **Company:** OpenKyber LLC
- **Location:** United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Continuous Integration, Graph Database, Python (Programming Language), Software Deployment, Software Engineering, Systems Integration, Google Cloud, Large Language Models, Multi-Agent Systems, Software Application Programming, Machine Learning Operations, Restful APIs
- **Published:** May 19, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=df844c63c9bc9dc7

## About the Role

* Degree in CS, AI/ML, or related field
 * Overall 10+ Years experience and 5+ years of AI/ML-focused software engineering
 * Production experience with LLMs and agentic systems
 * Strong MCP experience (MCP experience means building or integrating AI systems that use the Model Context Protocol to connect LLMs with tools, APIs, and data sources) and expert-level Python
 * Experience with embeddings at scale, knowledge graphs, ontology extraction, and advanced RAG
 * Full-stack skills (Python back end + modern front end)
 * Cloud deployment experience (AWS, Azure, or Google Cloud Platform)
 * Experience with LLMOps tools and strong problem-solving/communication skills
 * Willingness to work in the Dallas office 5 days/week.

## Description

We are seeking a highly skilled and experienced Senior GenAI Engineer who will be instrumental in designing, developing, and deploying modern generative AI solutions, leveraging expertise in foundation models, agentic AI systems, and full-stack application development. You will work across the entire AI lifecycle, from research and prototyping to production deployment and monitoring, contributing to high-impact transformative projects.

What You'll Get to Do:

 * Build applications leveraging foundation models and advanced GenAI techniques (Agentic RAG, KG-RAG)
 * Develop autonomous agents using modern agentic frameworks
 * Implement MCP integrations and Python-based full-stack solutions
 * Create scalable REST APIs and deploy AI workloads on major clouds
 * Apply LLMOps/MLOps best practices for CI/CD and monitoring
 * Work across teams, mentor others, and drive innovation in embeddings, knowledge graphs, and ontologies


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- [Rest API Antipatterns](https://www.wearedevelopers.com/videos/100208-rest-api-antipatterns)
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