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Tier-1 brand, metro location, mid-level AI role with popular skills increases competition.
Highly specialized LLM/GenAI and production ML deployment skills limit cross-industry transferability.
Explicit 3+ years requirement plus deep ML, deployment, and leadership skills raise filtering strictness.
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Design, develop, and maintain scalable backend APIs and systems using Python frameworks (Flask, Django, FastAPI).
Lead the design, development, deployment, and continuous improvement of AI/ML-powered solutions (especially generative AI and LLMs) in production environments.
Manage and mentor a development team, ensuring alignment with project goals and fostering innovation and collaboration.
Bachelor's degree in Engineering (B.Tech/BE) or higher.
Minimum 3 years of experience delivering AI/ML solutions in production, including experience in early-stage (0-to-1) product development or forward-deployed engineering roles.
Proficiency in Python backend development with frameworks like Flask, Django, or FastAPI; strong SQL skills; familiarity with Azure cloud technologies.
Experience developing and deploying generative AI or large language models using frameworks such as TensorFlow, PyTorch, Hugging Face, and agent-based platforms (LangChain, LlamaIndex).
Deep expertise in applied AI/ML with focus on generative AI, LLMs, and agent-based frameworks, coupled with hands-on leadership in production AI deployments.
Proven ability to architect robust backend systems integrated with AI and microservices at enterprise scale, using Python and JavaScript.
Experienced in managing cross-functional teams in agile environments, with strategic decision-making skills and ability to align technical solutions to business objectives.