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Tier-1 brand, metro location, mid-level generalist AI/fullstack role with broad skillset increases applicant density.
Core LLM and fullstack skills are transferable, though drug-development domain knowledge adds moderate specialization.
Explicit 4-8 years, mandatory LLM hands-on experience and specific toolchain (LangChain, vector DBs, fine-tuning) raises filter strictness.
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Design, develop, and optimize AI-driven solutions leveraging frontier Large Language Models (LLMs) like Claude and GPT-4 for drug development document generation.
Build and maintain full stack applications with Python backend (FastAPI, Django, Flask) and React.js frontend, including AI-powered dashboards and chat interfaces.
Lead prompt engineering, model fine-tuning, and evaluation; mentor junior developers and contribute to agile team practices.
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.
Strong technical skills in Python, React.js, RESTful APIs, and databases (PostgreSQL, MongoDB); experience with prompt engineering, fine-tuning (LoRA, RLHF), RAG pipelines, and orchestration frameworks like LangChain or LlamaIndex.
Bachelor’s degree in Computer Science or related field preferred; role based in Hyderabad with onsite work requirement as per company policies.
Experienced in building scalable AI solutions in data-intensive environments, particularly with generative AI and advanced LLM integrations.
Capable of bridging product requirements and technical implementation in a fast-paced, agile, and product-focused setting.
Proven mentor and team leader with ability to coach junior developers and continuously improve team skills and code quality.