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3.0 - 6.0 years

10 - 20 Lacs

Bengaluru

Remote

Role & responsibilities Design, develop, and deploy agentic applications and complex AI workflows using generative AI models (Claude, OpenAI, Gemini, etc.) and relevant frameworks (e.g., LangChain, LangGraph, Crew AI, or similar). Build and optimize prompts and interaction strategies for LLMs to achieve desired outcomes in agentic systems. Integrate various tools, APIs, and data sources, potentially utilizing MCP Servers, to enable agents to perform tasks and access information effectively. Develop robust, scalable, and maintainable code in Python for all components of the agentic applications, from backend logic to API integrations. Implement testing and evaluation strategies for agentic systems to ensure performance, reliability, and safety. Collaborate closely with product managers, designers, and other engineers to translate requirements into technical solutions. Stay up-to-date with the latest research and developments in generative AI, LLMs, agentic systems, and protocols like MCP, evaluating their potential for our products. Contribute to the architecture and technical roadmap of our AI initiatives. Mentor junior engineers and share knowledge within the team. Preferred candidate profile Bachelor's or Master's degree in Computer Science, Engineering, Artificial Intelligence, or a related field. Minimum of 3 years of professional experience in software development, with a significant focus on AI/ML applications. Proven proficiency in Python and experience with relevant AI/ML libraries and frameworks. Hands-on experience in developing applications utilizing Large Language Models (LLMs) such as Claude, OpenAI (GPT-3, GPT-4, etc.), Google Gemini, or other prominent generative AI models. Experience in building agentic applications or workflows, demonstrating an understanding of concepts like planning, memory, tool usage, and multi-agent systems. Familiarity with AI workflow orchestration and agentic frameworks (e.g., LangChain, LangGraph, Crew AI, Haystack, or similar). Experience working with Model Context Protocol (MCP) Servers. Experience with RESTful APIs and integrating external services. Solid understanding of software development best practices, including version control (Git), testing, and CI/CD. Excellent problem-solving skills and the ability to work independently and as part of a collaborative team.

Posted 2 weeks ago

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