Generative AI Engineer

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.