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Mid-level AI role, metro location, popular title, and moderate employer brand drive high competition.
Core ML/LLM engineering skills transfer well, though RAG and enterprise analytics experience adds moderate domain specificity.
Explicit 2–3 years requirement plus mandatory LLM, FastAPI, cloud, Docker, and vector DB skills.
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Develop, optimize, and maintain AI-driven applications primarily using Python with modular, scalable code.
Design and implement RESTful APIs with FastAPI to integrate AI services including Large Language Models (OpenAI, Azure).
Deploy and manage AI applications on cloud platforms (AWS, Azure, GCP) using Docker for containerization and interface with relational and vector databases.
Bachelor’s or Master’s degree in Computer Science or equivalent.
2-3 years of hands-on Python development experience focused on AI/LLM applications.
Experience with FastAPI, RESTful APIs, relational databases, vector databases, text embedding, and Retrieval-Augmented Generation (RAG).
Full-time, on-site work from Pune office, 5 days a week.
Experienced working with Large Language Models and AI integrations at scale in cloud environments (AWS, Azure, GCP).
Proficient with containerization (Docker) and version control (Git) in collaborative development.
Able to work efficiently in a fast-paced technology-driven environment with changing priorities.