codvo-team
codvo-team~1d ago
New

RAG + Agentic AI Engineer (India) (Remote)

IndiaIndia·PuneRemotemid
OtherAgentic Ai Engineer
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Quick Summary

Overview

Job Description — RAG + Agentic AI Engineer

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.

Technical Tools
dockerelasticsearchfastapipythonci-cdcustomer-supportetlmicroservices


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

~1 min read

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

.

Responsibilities

~1 min read

- 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.

RAG Engineering:

- Smart/component-aware chunking

- Hybrid retrieval (BM25 + dense)

- Reranking

- Graph-RAG basics

- Query rewriting & multi-hop retrieval

- 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

- Work on cutting-edge agentic AI systems at production scale

- Ownership over enterprise-grade architectures

- Fast growth environment

- Influence Codvo’s platform and accelerators


Experience: 5+ Years

Location & Eligibility

Where is the job
Pune, India
Remote within one country
Who can apply
IN

Listing Details

First seen
May 6, 2026
Last seen
May 8, 2026

Posting Health

Days active
0
Repost count
0
Trust Level
59%
Scored at
May 6, 2026

Signal breakdown

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codvo-teamRAG + Agentic AI Engineer (India) (Remote)