TL;DR

Senior Software Engineer, Agentic Information Retrieval (AI): Design, build, and refine autonomous systems that revolutionize how we access and process information with an accent on creating intelligent agents capable of understanding complex user queries and performing sophisticated information retrieval tasks. Focus on applying advanced AI to solve challenging search and data synthesis problems and engineering solutions for agent reliability, scalability, and efficiency.

Location: Zurich, Switzerland

Company

%hirify_global% is a team of scientists, engineers, and machine learning experts advancing the state of the art in artificial intelligence for widespread public benefit and scientific discovery.

What you will do

Design, build, and maintain agentic applications for complex information retrieval and question-answering tasks.
Develop and implement novel ranking algorithms to evaluate, filter, and prioritize information retrieved by AI agents.
Integrate and fine-tune large language models (LLMs) to serve as the core reasoning engine for autonomous agents.
Build robust data and evaluation pipelines to measure agent performance and drive continuous improvement.
Collaborate with research scientists and engineering teams to translate cutting-edge ideas into production-ready systems.
Engineer solutions for agent reliability, scalability, and efficiency to support a growing number of users and use cases.

Requirements

Proven experience in back-end software engineering using languages like Python or C++.
Strong understanding of and experience with information retrieval, search, and/or question-answering systems.
Experience designing and working with complex data pipelines and data analysis.
Excellent interpersonal and communication skills for collaborating effectively with both technical and research-oriented colleagues.
A bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.

Nice to have

Experience building applications using large language models (LLMs).
Familiarity with building agentic systems or frameworks (e.g., involving planning, tool use, or reasoning).
Basic understanding of statistics, data science, or machine learning evaluation techniques.
Experience with modern vector search and indexing technologies.

Culture & Benefits

Value diversity of experience, knowledge, backgrounds and perspectives.
Committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy.