Research, evaluate, and integrate cutting-edge AI APIs and tools (LLMs, generative AI, computer vision, etc.) to solve business problems in a creative and pragmatic way.
Explore and apply modern techniques such as prompt engineering, RAG (Retrieval-Augmented Generation), and model fine-tuning to create innovative solutions.
Rapidly develop functional prototypes to validate hypotheses, using third-party tools or building custom components.
Lead the technical evaluation of AI solutions from partners and vendors, helping determine the fastest route to value.
When the decision is to “Build,” transform prototypes into robust, scalable, and secure solutions using software engineering and MLOps best practices.
Work in a paired model with the Cell Lead, actively participating in discovery cycles and providing the technical feasibility perspective from the outset.

Experience as a Software Engineer or in a similar role, with a focus on practical AI application.
Experience applying Large Language Models (LLMs) and generative AI to solve business problems (e.g., task automation, summarization, chatbots).
Proficiency in Python and familiarity with the modern AI ecosystem (e.g., LangChain, LlamaIndex, Hugging Face, OpenAI/Google/Anthropic APIs).
Practical experience integrating systems via APIs (REST, GraphQL).
Ability to autonomously navigate different technologies and platforms, learn quickly, and choose the right tool for the job.

AI Analyst

Key skills