RAG + Agentic AI Lead About UsAt 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 RoleWe 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.Lead and mentor a team of AI/ML engineers, providing technical guidance, architectural direction, and code reviews. Core Skills &

• CompetenciesRAG 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- Quick growth environment- Influence Codvo’s platform and accelerators Experience: 7+ Years

📌 RAG + Agentic AI Lead (Maharashtra)
🏢 Codvo.ai
📍 Maharashtra