Generative AI Engineer

Job description

Responsibilities • Design and develop Generative AI applications and solutions using Python . • Build AI workflows and agent-based applications using LangChain and LangGraph . • Develop and integrate LLM-powered applications, AI agents, and intelligent automation solutions . • Design scalable and production-ready Gen AI solutions for enterprise use cases. • Integrate LLMs with APIs, databases, vector stores, and external services. • Implement prompt engineering, RAG, tool calling, and AI workflow orchestration. • Optimize AI applications for performance, scalability, reliability, and cost. • Collaborate with data scientists, engineers, architects, and business stakeholders. Eligibility / Required Skills • 9–12 years of overall software development experience with strong Python expertise. • Strong hands-on experience in Generative AI and LLM application development . • Mandatory experience with LangChain and LangGraph . • Strong understanding of LLMs, RAG, Prompt Engineering, AI Agents, and Vector Databases . • Experience building and deploying production-grade Gen AI applications . • Strong knowledge of REST APIs, microservices, and cloud-based application development . • Excellent problem-solving, communication, and technical design skills.