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# AI/ML Engineer

- **Company:** Amaze Systems Inc
- **Location:** Dallas, TX, United States
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Amazon Web Services, Microsoft Azure, Computer Programming, Continuous Integration, Data Validation, Data Cleansing, Web Scraping, Software Debugging, DevOps, Github, Python (Programming Language), Language Modeling, MongoDB, Natural Language Processing, NLTK (NLP Analysis), Parsing, Regular Expressions, Software Engineering, Google Cloud, Cloud Platform System, Data Ingestion, Delivery Pipeline, Large Language Models, Git, Scikit Learn, Kubernetes, Spacy, Code Restructuring, Microservices
- **Published:** May 28, 2026
- **Apply:** https://www.dice.com/job-detail/b6352e3c-71af-4e49-ba25-b4b24dc1d7c1

## About the Role

* Deploy and maintain knowledge ingestion pipelines and integration into API based services.
 * Strong knowledge of data cleansing, NLP, parsing tools, regex, and optimization strategies for RAG.
 * Experience fine tuning and deploying LLMs.
 * Stay current on the latest GenAI trends, frameworks, and coding practices.

Software Development Skills

 * Solve complex problems by writing and testing application code, developing and validating data pipelines, and automating tests and deployment.
 * Proficiency in designing and building in cloud environments such as Azure, Google Cloud Platform, or AWS.
 * Uphold quality through DevOps pipeline, unit , integration , and end to end testing., * 5+ years of experience programming with Python.
 * 3+ years of experience in Git and version control.
 * 3+ years of experience with a public cloud
 * 4+ years using Scikit learn
 * 2+ years of Lang chain experience.
 * 2+ years of LLM experience building RAG systems
 * 1+ year experience with vector databases such as MongoDB Atlas or Pinecone
 * Portfolio of LLM applications and sample projects
 * 5+ years of NLP experience using tools such as NLTK, SpaCy, and Beautiful soup
 * 2+ years of LLM experience building RAG systems at scale (10,000+ documents).
 * 5+ years experience in DevOps with Github Actions or similar CI/CD tools.
 * 5+ years of writing and deploying microservices
 * 3+ years of Kubernetes experience
 * Strong code refactoring skills
 * Strong debugging skills.
 * Familiarity with concepts such as Agents, adding memory to LLMs, routing, moderating content, parsing output



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