zorba ai
Website:
zorbaconsulting.in
Job details:
Role Overview We are seeking an experienced GenAI Developer to design, build, and deploy scalable generative AI solutions for enterprise use cases. The ideal candidate will have strong hands-on experience in building production-grade AI/ML systems, with deep expertise in LLMs, RAG architectures, and AI orchestration frameworks. Key Responsibilities Design and develop Generative AI applications using LLMs and advanced AI frameworks Build and optimize Retrieval-Augmented Generation (RAG) pipelines using vector databases and embedding models Develop and implement Agentic AI systems (multi-agent workflows, supervisor agents, micro-agents, etc.) Integrate AI solutions with cloud platforms such as Azure or AWS Work with orchestration tools like LangChain, LangGraph, LlamaIndex, Airflow, or Prefect Fine-tune LLMs and implement prompt engineering best practices Collaborate with cross-functional teams to deliver scalable AI solutions Ensure production readiness, monitoring, and optimization of AI models Must-Have Skills 5 years of experience building production-level AI/ML solutions using Python Strong hands-on expertise in: Retrieval-Augmented Generation (RAG) Vector databases & embedding models Retrieval optimization techniques Experience in Agentic AI systems (agent-to-agent communication, MCP, supervisor agents, micro-agents) Advanced experience with Azure AI (Azure OpenAI, Cognitive Services, Azure ML) OR AWS AI (Bedrock, SageMaker, LangChain integration) Strong experience with AI orchestration frameworks (LangChain, LangGraph, LlamaIndex, Airflow, Prefect, etc.) Deep understanding of Large Language Models (LLMs) , fine-tuning, and prompt engineering Good-to-Have Skills Experience with SQL and DevOps practices Prior experience leading or mentoring development teams Exposure to CI/CD pipelines and scalable deployments
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