Agentic AI

Join our core Agentic AI Engineering team to build modular, prompt-based GenAI agents that handle tasks like spec parsing, validation, DDL generation, and metadata enrichment. As an Agentic AI Developer, you'll be responsible for implementing multi-step intelligent agents that plug into the data pipeline and automate manual, context-heavy tasks using LLMs and structured logic.

****Only Apply if you are ready for 3-6 months contract****

Skills

Experience

Key Responsibilities:

• Build and maintain multi-task agents using frameworks like LangChain or Bedrock Agents
• Develop sub-services for: Spec parsing (Excel/CSV to JSON)
• Validation rule generation (from metadata) DDL generators for Redshift, BigQuery, Snowflake
• Integrate LLM outputs with structured data systems (dbt, Postgres, S3)
• Implement agent lifecycle management: versioning, logging, pre/post hooks
• Collaborate with data engineers to ensure agent outputs are usable in ingestion pipelines
• Contribute to prompt design, evaluation scripts, and testing harnesses for LLMs
• Participate in continuous refinement of prompt pipelines (Chain-of-Thought, ReAct, RAG)

Tech Stack:

• LLM Platforms: OpenAI, Bedrock, Anthropic
• Prompting: LangChain, LlamaIndex, PromptLayer
• Backend: Python, FastAPI, SQLAlchemy
• Data: dbt, PySpark, Redshift, Snowflake
• Infra: GitHub, Docker, S3, Terraform
• Validation: Great Expectations, dbt Tests (generated dynamically)

Requirements:

2-4 years 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"

Duration: 3-6 months

Locaton: Pune

Mode: WFO