Description

You will design, build, and optimize LLM-based autonomous agents for reasoning, planning, and task execution.

Responsibilities

  • Integrate with Data Engineers and Data Scientists to build end-to-end AI Agentic solutions for automating business workflows.
  • Develop and deploy machine learning models, including supervised, unsupervised, and deep learning approaches.
  • Build scalable ML pipelines, integrating Gen AI with Enterprise System APIs.
  • Build and maintain RAG pipelines using vector databases (e.g., FAISS, Pinecone, Chroma).
  • Translate business problems into analytical solutions by collaborating with business stakeholders.

Required Skills

  • 5+ years of professional experience.
  • Proficiency in Python, SQL, Spark, and Beam.
  • Experience with Gen AI concepts and implementation.
  • Strong scripting and Automation skills.
  • Familiarity with Advanced PL/SQL.
  • Experience with git-based source control and software development best practices.
  • Ability to perform data exploration, feature engineering, and statistical analysis on large datasets.
  • Good communication skills.

Education

Bachelor’s degree