Agentic AI

Role Overview: Join our core Agentic AI Engineering team and contribute to building modular, prompt-based GenAI agents. As an Agentic AI Developer, your primary responsibility will be to implement multi-step intelligent agents that automate manual, context-heavy tasks by plugging into the data pipeline using LLMs and structured logic. This role requires your expertise in Gen-AI/Agentic AI and Databricks. Key Responsibilities: - Build and maintain multi-task agents utilizing frameworks like LangChain or Bedrock Agents - Develop sub-services for: - Spec parsing from Excel/CSV to JSON - Validation rule generation based on metadata - DDL generators for Redshift, BigQuery, Snowflake - Integrating LLM outputs with structured data systems such as dbt, Postgres, and S3 - Implement agent lifecycle management including versioning, logging, and pre/post hooks - Collaborate with data engineers to ensure the usability of agent outputs in ingestion pipelines - Contribute to prompt design, evaluation scripts, and testing harnesses for LLMs - Participate in the continuous refinement of prompt pipelines like Chain-of-Thought, ReAct, and RAG Qualifications Required: - 2-4 years of experience in Python backend or data engineering roles - Experience with GenAI prompt integration, even in hobby or PoC projects - Strong understanding of JSON schema, YAML configs, and spec-driven development - Knowledge of data validation, test automation, or SQL generation from metadata - Familiarity with agents, chains, LangChain tools, or Bedrock workflows Additional Details: The project duration is 3-6 months, and the location for this role is in Pune. This is a Work From Office (WFO) position.,