Requirements:
Design, develop, deploy, and optimize AI solutions using Python and LLMs.
Collaborate with business stakeholders and clients to gather requirements and deliver AI systems aligned with organizational goals.
Integrate AI applications with APIs, databases, backend services, and cloud platforms.
Implement agentic AI workflows, including prompt engineering, tool/function calling, RAG, vector search, and multi-agent systems.
Monitor and evaluate model performance, safety, compliance, and cost efficiency in enterprise or regulated environments.
Bachelor’s or Master’s degree in a relevant field (BTech/BE/MTech/ME/MCA or equivalent) with 4–6 years of hands-on Python experience.
Proficiency with LLM frameworks such as LangChain, LangGraph, AutoGen, CrewAI, Agno, or similar tools.
Solid architectural thinking and excellent communication skills for effective stakeholder engagement.