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
- Rapid growth environment
- Influence Codvo’s platform and accelerators

Experience: 5+ Years

📌 RAG + Agentic AI Engineer (India)
🏢 Codvo.ai
📍 India