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Tier-1 brand and mid-level fullstack title increase competition, but AI specialization narrows candidate pool.
Fullstack and GenAI engineering skills are broadly transferable across industries.
Explicit 5-8 years plus many mandatory GenAI, frontend, backend, and cloud requirements.
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Design, develop, and deploy AI-powered products and workflows including LLM-based features, multi-agent systems, and AI orchestration.
Build and maintain backend services with Python (FastAPI), scalable APIs, and frontend interfaces with React and TypeScript.
Rapidly prototype and scale AI/GenAI tools in collaboration with consulting teams, delivering production-quality, well-tested code.
5-8 years of experience with Python, FastAPI, Flask, React, Typescript, Gen AI, and LLM ecosystems.
Bachelor's or Master's degree in Computer Science or related field.
Experience with cloud platforms like AWS, Azure, or GCP, and with AI orchestration frameworks (e.g., LangGraph, CrewAI, AutoGen).
Work Experience Required: 5-8 years; Notice Period: Not explicitly mentioned in the JD.
Experienced full stack AI engineer comfortable working at the intersection of AI research and scalable engineering solutions.
Proven ability to rapidly prototype, iterate, and scale AI/GenAI applications in dynamic, ambiguous environments.
Strong ownership and collaboration skills to work effectively with diverse consulting and technical teams globally.