Senior AI Engineer, Code Generation - Caffeine.ai: DFINITY
Sep 7, 2025 |
Location: ZΓΌrich, Switzerland |
Deadline: Not specified
Experience: Senior
Continent: Europe
DFINITY is a leading contributor to the Internet Computer Protocol (ICP), with a mission to build a secure, decentralized internet. This role is for a Senior AI Engineer focused on LLM-based code generation for "Caffeine," DFINITY's platform that allows users to create and update online apps by chatting with an AI. The engineer will enhance the core of Caffeine through innovative AI solutions, including optimizing large language models (LLMs), multi-agent architectures, and retrieval-augmented generation (RAG).
Responsibilities:
Develop and apply sophisticated multi-agent architectures and prompt engineering.
Optimize LLM post-training pipelines, including supervised fine-tuning and reinforcement learning.
Implement scalable context engineering and RAG pipelines to improve retrieval and reasoning.
Establish systematic evaluation and benchmarking frameworks to assess LLM performance.
Lead experiments and apply the latest research in LLMs for impactful implementation.
Implement high-quality AI components, tools, and integrations using clean coding practices.
Collaborate cross-functionally with engineers, product managers, and data scientists.
Requirements:
Required Qualifications:
Masterβs or PhD degree in Computer Science, Data Science, or a closely related field.
2+ years of professional AI experience with large language models, specifically in post-training, fine-tuning, benchmarking, and RAG.
5+ years of professional software engineering experience with a focus on clean code.
Strong analytical and problem-solving skills for designing innovative LLM-based solutions.
Proficiency in TypeScript and experience in other relevant programming languages.
Proven ability to work effectively in cross-functional teams.
Preferred Qualifications:
Experience in LLM code generation or code analysis.
Experience in programming language design, compilers, and runtime systems.
Experience in the engineering of code platforms.
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