Software Engineer 2 - AI Platform

Key Skills: Distributed Systems, AWS, Node.js, Python, Generative AI, Agentic AI, LLM, OpenAI, Vector Database Integration, LangChainRoles & Responsibilities:Develop clean, scalable, and maintainable code using Python and Node.js for AI-driven platforms and applications.Implement key modules of the Model Context Protocol (MCP), including connectors for APIs, file formats, and external services.Collaborate with senior engineers to integrate AI capabilities using prompts-as-code and runtime AI agent tools.Build and integrate features that enable AI Agents to interact with software systems and external applications.Ensure reliability and performance of applications through proper testing, debugging, and monitoring.Write unit tests and integration tests to maintain high code quality and system stability.Participate in debugging production issues and analyze system performance using monitoring dashboards.Engage in peer code reviews and collaborate with engineering teams to improve system design and implementation.Continuously learn and apply emerging technologies in AI platforms, distributed systems, and cloud infrastructure.Experience Required:3 - 5 years of experience in software development with strong backend engineering skills.Hands-on experience with Python or Node.js development.Experience working with distributed systems and scalable cloud architectures.Familiarity with AWS services and cloud-native application development.Experience building or integrating Generative AI, Agentic AI, or LLM-based applications.Knowledge of OpenAI APIs, vector databases, and frameworks such as LangChain is preferred.Experience working in Agile development environments and collaborating with cross-functional teams.Education: Any Post Graduation, B.E., B.Tech, B.Tech-M.Tech (Dual), or M.Tech in Artificial Intelligence, Computer Application, Computer Engineering, Computer Science, Electrical and Computer Engineering, Electronics & Communication, or Information Technology