Description :

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 Codvos 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 Youll Get :

- Work on cutting-edge agentic AI systems at production scale.

- Ownership over enterprise-grade architectures.

- Fast growth environment.

- Influence Codvos platform and accelerators.