Base

AI Engineer

Geneva, Switzerland Azienda: TN Switzerland Cliente / Datore di lavoro: LHH
Pubblicato: 18.05.2026
Data di chiusura: 02.07.2026
Referenze lavorative: 3c2761309ec978f283eb7859c80fbf83

Informazioni sul lavoro

Posizione
Geneva, Switzerland
Azienda
TN Switzerland
Cliente / Datore di lavoro
LHH
Referenze lavorative
3c2761309ec978f283eb7859c80fbf83
Tipo di elenco
Base
Permesso di lavoro UE richiesto
No
Pubblicato
18.05.2026
Data di chiusura
02.07.2026

Descrizione del lavoro

For one of our clients in Geneva, we are recruiting a AI Engineer who is open-minded and client-oriented, is passionate about his work, who believes in success and has a strong team spirit. Are you looking for you next challenging position? This opportunity is for you!

Responsibilities:

In this role you design, develop and deploy AI-powered chatbot application. You secure API's and legacy integration. You deliver real-time, secure and scalable AI services. Moreover, you transform large languages models into a secure, low-latency chatbot service, production-ready for financial environments. In addition, you architect and implement everything from UI and entitlements to backend APIs and observability dashboards. You ensure seamless integration into the firm's broader ecosystem.

Profile:

  • Bachelor in IT or equivalent
  • Minimum 3 years experience in a similar position
  • Minimum 4 years experience in development (cloud native)
  • Experience in a financial service
  • Excellent knowledge in Python 3.x, FastAPI, LangChain/Haystack, React
  • Excellent knowledge in typescript model ops
  • Very good knowledge OAth2, OIDC, SSO Data Stores, SQL
  • Very good knowledge in Kubernetes, Docker, Terraform, GitLAb CI
  • Good knowlege in Java, .Net
  • Good knowledge in CI/CD
  • English fluent
  • Abilità

    Agile Project Management Algorithms analyse big data analyse business requirements apply ICT systems theory apply systemic design thinking Artificial Neural Networks Assembly (computer programming) assess ICT knowledge build business relationships build predictive models build recommender systems Business Analytics Business Intelligence business process modelling C COBOL CoffeeScript Common Lisp computer programming Computer Simulation Computer Vision create data sets creatively use digital technologies Data Mining Data Models Data Science database development tools Deep Learning define technical requirements deliver visual presentation of data design application interfaces design database scheme design process develop creative ideas develop statistical software digital data processing Erlang Groovy Haskell ICT project management methodologies identify processes for re-engineering Information Architecture information categorisation Information Extraction information structure Java (computer programming) JavaScript lean project management LINQ Lisp manage business knowledge manage ICT data classification manage ICT semantic integration Matlab Microsoft Visual C++ ML (computer programming) N1QL Objective-C OpenEdge Advanced Business Language operational research Pascal (computer programming) perform dimensionality reduction Perl PHP principles of artificial intelligence Process-based management Prolog (computer programming) Python (computer programming) R resource description framework query language Ruby (computer programming) SAP R3 SAS language Scala Scratch (computer programming) Smalltalk (computer programming) SPARQL Swift (computer programming) systems development life-cycle task algorithmisation TypeScript Unstructured Data use data processing techniques utilise machine learning VBScript Visual Basic visual presentation techniques

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