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Strong employer brand, metro Hyderabad, mid-level AI/fullstack requirements increase applicant density.
Core LLM/fullstack skills transferable, but drug-development domain knowledge adds moderate bias.
Explicit 4–8 years, mandatory LLM and full-stack experience, and specific frameworks required.
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Design, implement, and fine-tune LLM-based AI solutions including prompt engineering and model customization for drug development document generation.
Develop and maintain full stack applications using Python (FastAPI, Django, Flask) and React.js to build AI-powered dashboards, chat interfaces, and scalable backend services.
Mentor junior developers, conduct code reviews, and promote best practices within an Agile/Product-based team environment.
4-8 years of professional experience, with at least 2 years in full stack development.
Hands-on experience (minimum 1 year) with frontier LLMs such as Claude, GPT-4, Gemini, or LLaMA including prompt engineering and fine-tuning techniques.
Strong expertise in Python backend frameworks (FastAPI, Django, Flask), React.js, RESTful APIs, and database management (PostgreSQL, MongoDB, Redis).
Bachelor's degree in computer science or related field preferred.
Experienced in applying advanced AI/ML techniques specifically with large language models and generative AI within a data-intensive environment.
Comfortable operating in Agile/Product-based development settings with an ability to deliver end-to-end software solutions and mentor teams.
Proficient full stack engineer with a strong focus on integrating AI technologies effectively into scalable, secure, and user-friendly applications.