Agentic AI

9 hours ago


Pune, India Terra Technology Circle Consulting Private Limited Full time

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 & DatabricksExperience: 2-4 yearsKey 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 rolesExperience with GenAI prompt integration (even in hobby or PoC projects)Strong understanding of JSON schema, YAML configs, and spec-driven developmentKnowledge of data validation, test automation, or SQL generation from metadataFamiliarity with agents, chains, LangChain tools, or Bedrock workflows"Duration: 3-6 monthsLocaton: PuneMode: WFO


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