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