RAG + Agentic AI Engineer (India) (Remote)

Job Description — RAG + Agentic AI EngineerAbout 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

Experience: 5+ Years