AI Engineer, Zalopay

We are hiring an AI Engineer to design and operate production-grade AI/ML systems that directly improve product and operational outcomes.

Our current focus is building an AI Agent Platform with a modular architecture:
Gateway → Orchestrator → Agents → Tools → Guardrails → Feedback, enabling automation of complex workflows with strong control, validation and continuous learning.

This role is intentionally broader than AI agents. Depending on priorities, you may also work on:

• Search and retrieval systems (keyword, semantic, hybrid)
• Recommendation, ranking and personalization systems
• AI evaluation, monitoring and reliability systems
• Other AI-powered product or operational systems with measurable business impact

We are not looking for someone who only knows how to prompt models.
We are looking for a strong engineer who can turn ambiguous problems into reliable systems in production.

What You Will Build

• AI Agent Platform components: orchestration, agent coordination, tool usage, guardrails and feedback loops
• Search and retrieval systems using keyword, semantic or hybrid approaches
• Recommendation, ranking and personalization systems
• Backend services and APIs that expose AI capabilities safely and reliably
• Monitoring, evaluation and human-in-the-loop workflows for continuous improvement

Responsibilities

• Design and build end-to-end AI/ML systems from problem definition to production rollout and iteration
• Develop and evolve AI Agent workflows, including context handling, tool calling, validation and fallback logic
• Build retrieval, search, ranking and personalization components that connect user intent to the right data or action
• Integrate LLMs with structured and unstructured data via context construction and tool-enabled workflows

Must-have

• Strong software engineering foundation with a production mindset, strong Python skills
• 1 - 2+ years of experience in AI Engineering or ML Engineering
• Experience building backend services and APIs
• Hands-on experience building LLM-based applications
• Understanding of:
• RAG, embeddings, vector databases
• Retrieval and search pipelines
• Experience in at least one of the following:
• AI agent or multi-step AI workflows
• Search, retrieval or relevance systems
• Recommendation, ranking or personalization systems