This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
What You’ll Do: Write clean, production-grade Python across AI integrations, backend services, and RESTful APIs; Implement and optimize RAG systems for production use cases; Design and build LLM-based and agentic AI solutions that address real client business challenges; Own the technical direction of client engagements from discovery through delivery; Support presales: discovery calls, technical proposals, scoping, and client-facing demos; Lead architecture reviews, produce technical design documents, and contribute to standards across the Python practice; Mentor engineers, lead code reviews, and share knowledge across the team; Build and maintain strong relationships with key client stakeholders as a trusted technical advisor. What You’ll Bring: ... What We Offer: Opportunity to work with cutting-edge AI and cloud solutions; Internal training programs (Leadership, Public Speaking, and more) with full support for AWS and other professional certifications; Career growth: a clear path toward SA or beyond; we actively develop our engineers; Access to the latest AI tools and premium subscriptions; Remote with flexible hours; Private medical insurance or a budget for your medical needs; Paid sick leave, vacation, and public holidays; Equipment and all the tech you need for comfortable, productive work.
Job Responsibility
Write clean, production-grade Python across AI integrations, backend services, and RESTful APIs
Implement and optimize RAG systems for production use cases
Design and build LLM-based and agentic AI solutions that address real client business challenges
Own the technical direction of client engagements from discovery through delivery
Support presales: discovery calls, technical proposals, scoping, and client-facing demos
Lead architecture reviews, produce technical design documents, and contribute to standards across the Python practice
Mentor engineers, lead code reviews, and share knowledge across the team
Build and maintain strong relationships with key client stakeholders as a trusted technical advisor
Requirements
7+ years building and running production systems not only demos and POCs
Strong understanding of AI/ML concepts and experience integrating AI/ML components into solutions