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.
Solid knowledge of REST APIs, microservices, and cloud-based application development.
Excellent problem-solving, communication, and technical design skills.

📌 Generative AI Engineer (Bengaluru)
🏢 Persistent Systems
📍 Bengaluru