Gen AI Engineer

We are looking for a highly skilled GenAI Engineer with strong hands-on experience in building AI-powered applications using Python and modern LLM orchestration frameworks. The ideal candidate should have practical expertise in developing Agentic AI solutions, RAG pipelines, multi-agent workflows, and scalable backend services integrated with Large Language Models (LLMs).

The role requires deep technical knowledge of AI application architecture, prompt engineering, vector databases, and enterprise-grade AI solution development.

Key Responsibilities

• 4+ Years of Design and develop scalable GenAI applications using Python
• Build intelligent AI agents and multi-agent workflows using Agentic AI frameworks
• Develop and optimize RAG (Retrieval-Augmented Generation) pipelines
• Work with LLM orchestration frameworks such as LangChain and LlamaIndex
• Integrate LLMs with enterprise systems, APIs, databases, and external tools
• Implement prompt engineering, context management, memory handling, and agent workflows
• Develop REST APIs and backend services for AI applications
• Work with vector databases and embedding models
• Optimize AI application performance, scalability, observability, and cost
• Collaborate with cross-functional teams including product, data engineering, and DevOps
• Ensure security, governance, and responsible AI practices in application development

Mandatory Skills

• Strong programming expertise in Python
• Hands-on experience with Generative AI (GenAI) application development
• Strong experience with LangChain
• Hands-on experience with LlamaIndex
• Experience in building Agentic AI / AI Agents
• Strong understanding of LLMs, prompt engineering, and AI orchestration
• Experience in RAG architecture and vector databases
• Knowledge of REST APIs and microservices architecture
• Experience with cloud platforms such as AWS, Azure, or GCP
• Familiarity with Docker and containerized deployments
• Strong debugging and problem-solving skills

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