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RAG + Agentic AI Engineer (India) (Remote)

0 years

0 Lacs

pune maharashtra india

Posted:1 month ago| Platform: Linkedin logo

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Skills Required

ai data power collaboration creativity cutting retrieval model orchestration query planning design layers pdf ocr fastapi microservices sharepoint crm security governance tuning python docker etl audit support engineering

Work Mode

Remote

Job Type

Full Time

Job Description

About Us

At Codvo, we are committed to building scalable, future-ready data platforms that power business impact. We believe in a culture of innovation, collaboration, and growth, where engineers can experiment, learn, and thrive. Join us to be part of a team that solves complex data challenges with creativity and cutting-edge technology.

About The Role

We are looking for a highly skilled RAG + LLM-based Agentic AI Engineer to build production-grade retrieval systems, multi-agent workflows, and enterprise-ready AI applications. You will work across document pipelines, model orchestration, tool-driven agents, and governed AI systems that power Codvo’s next-generation products

Key Responsibilities

  • Build end-to-end RAG pipelines: smart chunking, hybrid retrieval, reranking, query rewriting.
  • Implement LangGraph-based agentic workflows with tools, planning, and self-healing behaviors.
  • Develop and optimize vector search systems (Qdrant/Weaviate/OpenSearch).
  • Design multi-tenant, ontology-driven knowledge layers for enterprise data.
  • Implement guardrails, hallucination reduction, and automated evals.
  • Build and maintain document ingestion pipelines (PDF, DOCX, OCR, images).
  • Architect and deploy FastAPI-based AI microservices with caching and async execution.
  • Integrate LLM systems with enterprise apps (SharePoint, CRM, databases, MCP tools).
  • Ensure security, PII safety, auditability, and governance requirements are met.
  • Collaborate with solution architects and domain SMEs to translate use cases into working AI systems.

Core Skills & Competencies

RAG Engineering:
  • Smart/component-aware chunking
  • Hybrid retrieval (BM25 + dense)
  • Reranking
  • Graph-RAG basics
  • Query rewriting & multi-hop retrieval
Agentic AI:
  • LangGraph
  • MCP tools
  • Multi-agent orchestration
  • Tool-calling workflows
Vector & Search:
  • Qdrant or Weaviate
  • OpenSearch/Elasticsearch
  • HNSW tuning
LLM Ops:
  • Prompt engineering
  • Hallucination control
  • RAG/agent eval frameworks
  • Synthetic data generation
Backend & Infra:
  • Python, FastAPI
  • Async programming
  • Docker, CI/CD
  • Cloud basics
Data Engineering:
  • Document parsing
  • ETL pipelines
  • Caching, batching, streaming
Security & Governance:
  • PII handling
  • Access control
  • Audit trails

Nice-to-Have

  • Experience with Haystack, LlamaIndex, or RAG frameworks
  • Fine-tuning retrievers or small LLMs
  • Ontology modeling
  • Enterprise search deployments
  • Agents in customer support, ops, legal, engineering

What You’ll Get

  • Work on cutting-edge agentic AI systems at production scale
  • Ownership over enterprise-grade architectures
  • Fast growth environment
  • Influence Codvo’s platform and accelerators

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