Senior AI​/ML Engineer

Senior AI/ML Engineer

Job description below.

• 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.

• 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, GCP, or AWS.
• Uphold quality through Dev Ops 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 Mongo
  
  DB Atlas or Pinecone.
• Portfolio of LLM applications and sample projects.
• 5+ years of NLP experience using tools such as NLTK, Spa Cy, and Beautiful Soup.
• 2+ years of LLM experience building RAG systems at scale (10,000+ documents).
• 5+ years' experience in Dev Ops with Git Hub 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.

Dexian is an Equal Opportunity Employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status.