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.
- Robust 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.

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