Back
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Mid-level metro role with broad fullstack plus LLM requirements and strong employer brand increases competition.
Core LLM, Python and fullstack skills are transferable, but pharma drug-development context adds moderate domain specificity.
Explicit 4-8 years, minimum 2 years fullstack, and mandatory LLM hands-on experience impose high filtering.
Design and develop Python-based applications and scalable backend services focused on AI and data-intensive drug development document generation.
Build and optimize LLM-based solutions including prompt engineering, model fine-tuning, and API integrations using frontier models like Claude and GPT-4.
Develop responsive front-end interfaces and AI-powered dashboards using React.js; conduct model performance evaluations and mentor junior developers.
4-8 years total IT experience, with at least 2 years in full stack development.
Hands-on experience (minimum 1 year) with frontier Large Language Models (e.g., Claude, GPT-4, Gemini) and related prompt engineering, model fine-tuning, and RAG pipeline development.
Proficiency in Python (Flask/Django/FastAPI), React.js, RESTful APIs, and databases (PostgreSQL, MongoDB, Redis).
Bachelor's degree in Computer Science or related field preferred; work location Hyderabad, India.
Strong practical experience architecting and implementing AI solutions particularly with LLMs in a data-rich, regulated environment like drug development IT.
Proven ability to lead technical implementation end-to-end including backend, frontend, and AI model integrations within Agile/Product teams.
Experience mentoring developers, driving continuous learning, and maintaining quality through code reviews and best practices.