Description

You will design and build LLM-based autonomous agents for reasoning, planning, and task execution, integrating them into end-to-end AI solutions that automate business workflows.

This role is on-site.

Responsibilities

• Design and optimize LLM-based autonomous agents for reasoning and task execution.
• Build scalable ML pipelines, integrating Gen AI with Enterprise System APIs alongside Data Engineers and Scientists.
• Develop and deploy machine learning models, including supervised, unsupervised, and deep learning approaches.
• Build and maintain RAG pipelines using vector databases such as FAISS, Pinecone, or Chroma.
• Translate business problems into analytical solutions through collaboration with stakeholders.

Required Skills

• 5+ years of professional engineering 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.

Preferred Skills

• Bachelor’s degree in a technical field.
• Good communication skills for cross-functional collaboration.

Key Skills

Education

Bachelor’s degree