Agentic AI

1 day 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 AgentsDevelop sub-services for: Spec parsing (Excel/CSV to JSON)Validation rule generation (from metadata) DDL generators for Redshift, BigQuery, SnowflakeIntegrate LLM outputs with structured data systems (dbt, Postgres, S3)Implement agent lifecycle management: versioning, logging, pre/post hooksCollaborate with data engineers to ensure agent outputs are usable in ingestion pipelinesContribute to prompt design, evaluation scripts, and testing harnesses for LLMsParticipate in continuous refinement of prompt pipelines (Chain-of-Thought, ReAct, RAG)Tech Stack:LLM Platforms: OpenAI, Bedrock, AnthropicPrompting: LangChain, LlamaIndex, PromptLayerBackend: Python, FastAPI, SQLAlchemyData: dbt, PySpark, Redshift, SnowflakeInfra: GitHub, Docker, S3, TerraformValidation: 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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