Agentic AI Lead

1 week ago

Bengaluru, Karnataka, India Maven Tech , Bengaluru Full time ₹ 1,04,000 - ₹ 1,30,878 per year

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.
  • Strong communication skills, both written and verbal.

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