Full Stack AI Solutions Engineer
Core
Build next-generation knowledge work automation tools and intelligent systems that enhance productivity and accelerate decision-making in pharmaceutical research and drug discovery.
Role type
Full Stack AI Solutions Engineer (Pharma R&D)
Builds
Production-grade full stack applications integrating LLM and AI capabilities into scientific workflows for medicinal chemists and biomedical researchers.
Domain
Pharmaceutical research / Drug discovery / Applied AI
Deliverable
production ML models | product features
Required skills
Python, TypeScript, React.js, FastAPI, LLM orchestration, RAG systems, vector search, AWS cloud infrastructure, Docker, CI/CD pipelines
Preferred skills
Prompt engineering, conversational AI interfaces, agentic LLM architectures, PyTorch, MongoDB/PostgreSQL, semantic search technologies
Technologies
Python, TypeScript, React, FastAPI, AWS, Docker, GitHub Actions, Jenkins, GitLab CI, MongoDB, PostgreSQL, PyTorch, OpenAI API, Hugging Face, Anthropic
Responsibilities
Design and implement production-grade full stack applications integrating LLMs; collaborate with domain experts to translate scientific challenges into technical solutions; develop scalable backend services for data processing and LLM orchestration; create responsive frontend interfaces; implement RAG systems and agentic LLM architectures; deploy and maintain systems on AWS; contribute to novel semantic frameworks for AI-driven knowledge systems.
Seniority
Mid-Senior, hands-on IC