Retrieval-Augmented Generation (RAG) Engineer

Ceed

India
Permanent
Full-time

1 month ago

Ceed is a global headhunting firm specializing in elite AI talent recruitment. We partner with leading tech companies worldwide, connecting them with world-class AI engineers, architects, and specialists building tomorrow’s most impactful AI systems. This role offers the chance to work on high-profile projects shaping AI-powered knowledge automation and enterprise search.The RoleWe are hiring a Retrieval-Augmented Generation (RAG) Engineer to design, deploy, and optimize intelligent retrieval pipelines that combine large language models (LLMs) with external knowledge sources for highly reliable, context-rich AI applications.You will:

Design and build scalable RAG systems using vector databases, embedding models, and transformer-based LLMs.
Develop semantic search pipelines for accurate, grounded responses across large document repositories.
Integrate RAG solutions into chatbots, enterprise search platforms, and customer-facing products.
Collaborate with AI, product, and data teams to reduce hallucinations, improve accuracy, and boost retrieval speed.
Research and implement state-of-the-art retrieval and context injection strategies, staying ahead of AI architecture trends.
Deploy production-grade RAG systems optimized for performance, latency, and reliability.

Ideal Profile2+ years of experience in AI engineering, information retrieval, or NLP.Strong skills in Python, with hands-on experience using frameworks such as LangChain, LlamaIndex, or Haystack.Expertise with vector databases (Pinecone, Weaviate, Milvus) and semantic search techniques.Familiarity with LLM APIs (OpenAI, Claude, etc.) and prompt engineering for RAG workflows.Understanding of data pipeline architecture, embeddings, and transformer models.Proactive, detail-oriented, and motivated to build highly reliable, production-grade AI retrieval systems.What's on Offer?

Join a fast-growing global AI engineering team working on next-generation RAG architectures used by top SaaS and enterprise platforms.
Build solutions that push the limits of information retrieval and contextual AI reasoning, powering real-world AI search and chat systems.
Remote-first, flexible hours, and exposure to cutting-edge AI tools and enterprise-scale data challenges.

Ceed

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