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Mid-level AI role, popular title, Pune metro, and broad LLM/cloud requirements drive high competition.
ML/LLM engineering skills are transferable across industries but require specific LLM deployment expertise.
Explicit 2-3 years requirement plus mandatory LLM, FastAPI, cloud, and Docker skills.
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Develop, maintain, and optimize AI-driven applications primarily using Python and FastAPI.
Integrate and deploy Large Language Models (LLMs) like OpenAI and Azure OpenAI, utilizing vector databases, text embedding, and RAG techniques.
Deploy and manage AI applications on cloud platforms (AWS, Azure, GCP) using Docker for scalable containerization.
Bachelor’s or Master’s degree in Computer Science or equivalent.
2-3 years of hands-on Python development experience with AI/LLM-based applications.
Experience with RESTful API development using FastAPI, relational and vector databases, and LLM implementation.
Full-time work from Pune office, 5 days a week.
Experienced in modular, scalable AI software development focusing on real-world AI deployments.
Comfortable working with multiple cloud environments and containerization for AI solutions.
Capable of collaborating using Git in a fast-paced, evolving technical environment.