RAG + Agentic AI Engineer (India) (Remote)

Job Description — RAG + Agentic AI Engineer

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

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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

Experience: 5+ Years