TL;DR

Engineering Manager (AI): Lead and develop AI-driven B2B platform systems with an accent on AI-powered agent platforms, cloud-native architecture, and team leadership. Focus on designing scalable AI integrations, modernizing legacy systems, and driving technical excellence in a global, distributed environment.

Location: Remote within Poland, Czech Republic, or Spain

Company

%hirify_global% is a global e-commerce marketplace focused on connecting local businesses with customers, committed to AI-driven innovation and transformation.

What you will do

Build and lead a diverse engineering team across EMEA and India, fostering ownership and technical excellence.
Act as a hands-on leader coding in TypeScript, Python, and React while mentoring engineers.
Architect and evolve AI-powered agent platforms using RAG pipelines, vector stores, and cloud-native solutions on GCP.
Modernize workflows and automate deal and merchant onboarding with AI technologies.
Collaborate with product managers, data scientists, UX, and senior leaders to deliver impactful outcomes.
Champion AI innovation in daily engineering and leadership practices.

Requirements

Must have 8+ years of software engineering experience and 2+ years leading teams, preferably in scale-up or high-growth environments.
Strong backend skills in TypeScript/Node.js and Java; Python experience for AI/ML is a plus.
Experience designing or integrating AI agents, including RAG pipelines and vector databases.
Proficiency with modern web apps (React) and cloud infrastructure (preferably GCP).
Excellent communication skills to translate business priorities into technical roadmaps.
Comfortable working in ambiguous, fast-paced environments with legacy system modernization.

Nice to have

Experience integrating AI into e-commerce, B2B SaaS, or platform environments.
Experience working with globally distributed teams.

Culture & Benefits

Opportunity to build on a greenfield codebase and shape engineering culture.
Work in an AI-first company with remote-first options and flexible hours.
High-trust environment with support from senior tech and product leadership.
Candidate-first hiring process encouraging use of AI tools during interviews.