Manager AI Implementations
Core
Designing and developing Python applications and AI-powered solutions for automated drug development document generation.
Role type
Manager, Full Stack Development (AI/LLM focus)
Builds
Automated document generation solutions leveraging Generative AI and data science for drug development.
Domain
Pharmaceutical / Drug Development / Generative AI
Deliverable
production ML models | product features
Required skills
Python, React.js, LLM fine-tuning, Prompt engineering, RAG pipelines, Vector databases, RESTful APIs, PostgreSQL, MongoDB, Redis, FastAPI/Django/Flask, Node.js, OAuth 2.0, JWT, RBAC, A/B testing, Code review
Preferred skills
AWS Glue, MySQL, LangChain, LlamaIndex, Pinecone, Weaviate, ChromaDB
Technologies
Python, React.js, Claude, GPT-4, Gemini, LLaMA, FastAPI, Django, Flask, Node.js, PostgreSQL, MongoDB, Redis, AWS Glue, LangChain, LlamaIndex, Pinecone, Weaviate, ChromaDB
Responsibilities
Collaborate with product managers to translate requirements into technical solutions; Design, implement, and fine-tune LLM-based solutions; Build and manage prompt engineering pipelines; Develop responsive user interfaces and AI-powered dashboards; Architect and develop scalable backend services; Design and maintain robust RESTful APIs and GraphQL endpoints; Implement secure authentication and authorization; Manage and optimize databases; Conduct code reviews and mentor junior developers.
Seniority
Manager, hands-on IC with team leadership
