Job Description
GenAI Engineer (LLM, RAG, AI Systems) | 3–6 Years Experience | AI Consulting Firm
A leading Data and AI consulting firm is hiring a GenAI Engineer to design and build production-grade AI systems using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and agent-based architectures.
This is a great opportunity to work on real-world AI applications across industries such as telecom, banking, retail, travel, and hospitality.
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Job Responsibilities:
• Design and build production-grade AI features using LLMs, RAG, and agent-based systems
• Implement end-to-end RAG pipelines (retrieval, embeddings, vector search, orchestration)
• Orchestrate agent workflows using frameworks like LangChain or LangGraph
• Develop and deploy cloud-native microservices and APIs (REST/gRPC)
• Optimize system performance, scalability, and cost efficiency
• Work with graph databases (Neo4j, Amazon ...
A leading Data and AI consulting firm is hiring a GenAI Engineer to design and build production-grade AI systems using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and agent-based architectures.
This is a great opportunity to work on real-world AI applications across industries such as telecom, banking, retail, travel, and hospitality.
⸻
Job Responsibilities:
• Design and build production-grade AI features using LLMs, RAG, and agent-based systems
• Implement end-to-end RAG pipelines (retrieval, embeddings, vector search, orchestration)
• Orchestrate agent workflows using frameworks like LangChain or LangGraph
• Develop and deploy cloud-native microservices and APIs (REST/gRPC)
• Optimize system performance, scalability, and cost efficiency
• Work with graph databases (Neo4j, Amazon ...