Graduate IT Development - AI

Leonteq AG -
Zürich, ZH

Jetzt bewerben

Details zur Stelle

100%

Qualifikationen

Französisch
Investment
Git
Englisch
Master
Docker
Erfahrung in der IT
Linux
Italienisch
Python
Deutsch

Vollständige Stellenbeschreibung

WHO WE ARE

Leonteq is a Swiss fintech company and a leading marketplace for structured investment solutions. Combining capital markets expertise with proprietary technology, the company provides access to a wide range of structured investment opportunities.
Entrepreneurial thinking is central to how we work. Expertise is valued, ownership is encouraged, and employees are empowered to actively shape their areas of responsibility. Innovation and continuous improvement are part of daily life, making Leonteq a dynamic and collaborative place to grow your career.

About the role

Join the IT Development Team at Leonteq and experience the fast-paced environment of a leading Swiss FinTech company. You will help build the on-prem AI platform that powers chat, retrieval and agentic workflows across the firm.

What you'll do

Contribute across our AI platform: the gateway, the retrieval-augmented backend, the chat interface and the agent framework.
Help deliver AI agents end-to-end with business teams (scope, model, evaluate, deploy, monitor, iterate) and support other Leonteq teams building their own.
Help improve retrieval quality on Leonteq's document corpus through chunking, embeddings, hybrid search and re-ranking, measured with evaluation sets and production traces.
Contribute to the testing and evaluation framework for our AI agents and tools, so quality regressions are caught before users see them.
Help operate the on-prem model-serving stack and investigate regressions through traces, logs, retrieval scores and GPU metrics.
Contribute to security, governance and audit: authentication and authorisation, prompt and response logging, role-based data access, anonymisation, guardrails.

What you'll need

Master's degree in Engineering, or a related field
Hands-on programming experience, ideally in Python and/or TypeScript, plus Git, Linux, Docker and REST/JSON
Comfortable using AI coding assistants as part of your workflow
Strong interest in financial markets and AI, and a habit of staying informed about the latest trends
A debugger's mindset and willingness to work through logs, traces and evaluation failures to find where quality or performance breaks
Product and communication instincts: able to extract the real problem from a non-technical stakeholder and turn it into production-ready software
Awareness of responsible AI failure modes (hallucinations, prompt injection, data leakage, evaluation gaps) and an instinct to design against them
Fluency in business English

Nice to have

Relevant prior work experience
A demonstrable LLM-application project (agent, RAG, evaluation framework, fine-tune)
Hands-on exposure to LLM APIs, agent frameworks, RAG pipelines or vector databases, with ML and NLP foundations (transformers, embeddings, prompt design, evaluation)
Hands-on experience with tools in our stack: LangGraph, LangChain, LiteLLM, Langfuse, ChromaDB, vLLM or Ollama
Interest in or exposure to finance, structured products or regulated environments
Open-source contributions in the LLM or agent ecosystem
Additional languages (German, French, or Italian)

Why you'll love working here

Modern facilities in a prime location
Two intensive one-week off-site training programs designed to accelerate your early career development
Upon successful completion of the twelve-month Leonteq Graduate Program, the possibility of a permanent full-time role, setting you up for long-term success at Leonteq
Opportunities to gain cross-departmental insights and develop a holistic understanding of the structured investment product value chain

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