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Strong Tier-1 brand, metro location, and mid-level (3-6 years) experience amplify competition.
AI and full-stack skills are transferable, though pharma drug-development domain familiarity provides advantage.
Mandatory 4+ years LLM experience plus specific stack, frameworks, and vector DB requirements.
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Lead design and implementation of LLM-based AI solutions, including prompt engineering, fine-tuning, and model optimization using frontier tools like Claude and GPT-4.
Develop and maintain full stack applications and scalable backend services (Python frameworks and React.js) integrating AI models and advanced APIs in a drug development data environment.
Mentor junior developers, enforce code quality, and drive adoption of agile methodologies within the AI-focused development team.
Minimum 4 years hands-on experience with frontier Large Language Models (e.g., Claude, GPT-4, Gemini, LLaMA).
Proficiency in Python (FastAPI, Django, Flask), React.js, RESTful APIs, and databases including PostgreSQL and MySQL.
Experience with prompt engineering, model fine-tuning (LoRA, RLHF), and building RAG pipelines using frameworks like LangChain or LlamaIndex.
Bachelor's degree in Computer Science or related field preferred; work experience requirement and domain knowledge in AI implementations explicitly required.
Experienced with end-to-end AI solution development in data-intensive environments, particularly in drug development or clinical operations.
Strong hands-on knowledge of generative AI models, prompt engineering, and AI model evaluation metrics indicative of advanced technical expertise.
Proven ability to lead and mentor development teams while working in agile/product-based environments.