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Agentic AI
Terra Technology Circle Consulting Private LimitedPune, Maharashtra, India8 days ago
Job descriptionBuild 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) 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)
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 :
Tech Stack :
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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Agentic Ai • Pune, Maharashtra, India
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