Staff AI Engineer - Founding Brno R&D Hub (Hybrid)

affinipay1; États-Unis; Hybride; USD 66 000 - 111 000; Plein temps

Avantages offerts par ce poste

Hybrid work model

Founding engineer Brno hub

Occasional travel

Résumé du poste

affinipay1 is seeking a Staff Software Engineer to lead the design and delivery of AI-powered features across its SaaS product suite. The role is part of a new Brno-based R&D hub with two in-office days weekly, collaborating with product, data, and cloud teams.

You will design AI capabilities end-to-end, from ideation to production, and help shape the infrastructure and deployment practices for scalable AI.

Qualifications

• Five+ years of professional software engineering experience in SaaS or backend development.
• Proven track record designing, building, and operating production AI/ML services.
• Hands-on experience with LLM frameworks and modern developer tooling.

Responsabilités

• Translate business challenges into AI-driven solutions with product stakeholders.
• Design, build, and integrate AI features into SaaS products used by professionals.
• Collaborate with data team to collect and prepare data for model training and inference.
• Develop AI-powered services from prototypes to GA for customers.
• Write production-grade Python for data manipulation and model evaluation.
• Build tooling and infrastructure for reliable, scalable AI deployment.
• Work with cloud operations to ship, monitor, and improve AI features in production.

Connaissances

Full-stack SaaS

Python

LLM frameworks

AWS

Formation

Bachelor's degree or higher in CS/Engineering

Outils

Python

LLM frameworks

Description du poste

affinipay1 is seeking a Staff Software Engineer to lead the design and delivery of AI-powered features across its SaaS product suite. The role is part of a new Brno-based R&D hub with two in-office days weekly, collaborating with product, data, and cloud teams.

You will design AI capabilities end-to-end, from ideation to production, and help shape the infrastructure and deployment practices for scalable AI.