Agentic AI
3 weeks ago
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 : Gen-AI/Agentic AI & Databricks
Experience : 2-4 years
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
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