Senovo-It is seeking a highly skilled GenAI Engineer / Architect to join a transformative project within the pharmaceutical sector. This role is designed for a technical expert who thrives on combining high-level solution architecture with hands-on development to build production-grade artificial intelligence systems.
Key responsibilities
- Design and build end-to-end production-grade GenAI solutions tailored for the pharmaceutical industry.
- Develop advanced LLM, RAG, and Agentic AI applications to solve complex business challenges.
- Design sophisticated retrieval pipelines utilizing vector databases, hybrid search, and reranking techniques.
- Implement robust AI governance, guardrails, and evaluation frameworks to ensure high-quality model performance.
- Provide technical leadership and architecture guidance to engineering teams while maintaining a hands-on coding approach.
Requirements
- Extensive experience in Python development with a strong focus on scalable software engineering.
- At least 2 years of hands-on professional experience specifically in GenAI and LLM production environments.
- Deep practical knowledge of RAG architectures and AI agent frameworks like LangChain, LangGraph, or LlamaIndex.
- Proficiency in cloud-based AI deployment, preferably within the Azure ecosystem, including Azure OpenAI.
- Solid understanding of REST APIs, containerization with Docker, and modern CI/CD practices.
What we offer
- The opportunity to work on cutting-edge AI solutions in the life sciences sector.
- A fully remote working environment that supports professional growth and technical autonomy.
- Engagement in a high-impact role that bridges the gap between architectural strategy and technical implementation.