AI Architect

Evotym; Polska; Hybrid; PLN 180,000 - 300,000; Full time

Benefits offered by this job

Competitive salary aligned with经验

Collaborative and transparent team

High-impact role in scaling fintech

Recognition of milestones

Social benefits

Job summary

Evotym is seeking an experienced AI/ML-focused software architect to turn AI ideas into production-grade platforms. You will define the architecture and roadmap for LLM-powered solutions, including agents, RAG and automated workflows, using modern cloud infrastructure, Docker and Kubernetes.

You will collaborate with Engineering, Product and Security to deliver measurable business impact, balancing quality, scalability, latency and cost while navigating fintech requirements and data governance.

Qualifications

• 8+ years of software engineering experience with architecture or technical leadership.
• Proven experience deploying production-grade AI/LLM-powered systems.
• Strong knowledge of Generative AI, LLM APIs, RAG, embeddings and vector search.
• Experience with AI agents, tool calling and workflow orchestration.
• Backend architecture skills including distributed systems, microservices and APIs.
• Familiarity with cloud platforms, Docker, Kubernetes and modern infrastructure.
• Understanding of AI evaluation, monitoring, security, privacy and data governance.
• Ability to balance solution quality, scalability, latency and cost.

Responsibilities

• Define the AI architecture and technology roadmap aligned with business goals.
• Design and implement scalable AI and LLM-powered solutions, including agents and automated workflows.
• Develop RAG architectures, semantic search and enterprise knowledge systems.
• Evaluate AI models, platforms and infrastructure for performance, security and cost.
• Integrate AI solutions with existing APIs, backend systems and microservices.
• Establish standards for AI evaluation, monitoring, observability and security.
• Collaborate with Engineering, Product and Security to deliver measurable business impact.
• Guide AI initiatives from proof of concept to production and promote engineering best practices.

Skills

AI/LLM systems

Software architecture

Distributed systems

Cloud platforms

Docker & Kubernetes

Tools

Docker

Kubernetes

APIs

Vector search

LLM APIs

Job description

About the Client

Our client develops white-label payment and financial software for businesses and financial service providers. Its modular platform supports payments, accounts, cards and operational workflows through APIs and integrations.

Role Overview

Turn AI ideas into reliable production systems with measurable business impact. You will define the architecture and roadmap for LLM-powered solutions, including agents, RAG and automated workflows. Working with skilled engineering, product and security colleagues, you will take initiatives from proof of concept to production using modern cloud infrastructure, Docker and Kubernetes.

Key Responsibilities

• Define the AI architecture and technology roadmap in line with business objectives.

• Design and implement scalable AI and LLM-powered solutions, including agents and automated workflows.

• Develop RAG architectures, semantic search and enterprise knowledge systems.

• Evaluate AI models, platforms and infrastructure for performance, security and cost.

• Integrate AI solutions with existing APIs, backend systems and microservices.

• Establish standards for AI evaluation, monitoring, observability and security.

• Collaborate with Engineering, Product and Security teams to deliver measurable business impact.

• Guide AI initiatives from proof of concept to production and promote engineering best practices.

Requirements

• 8+ years of software engineering experience, including architecture or technical leadership.

• Proven experience designing and deploying production-grade AI or LLM-powered systems.

• Strong knowledge of Generative AI, LLM APIs, RAG, embeddings and vector search.

• Experience with AI agents, tool calling and workflow orchestration.

• Strong backend architecture skills, including distributed systems, microservices and APIs.

• Familiarity with cloud platforms, Docker, Kubernetes and modern infrastructure.

• Understanding of AI evaluation, monitoring, security, privacy and data governance.

• Ability to balance solution quality, scalability, latency and cost.

• Fintech or payments experience is an advantage.

• Knowledge of Russian or Ukrainian is required.

• Ability to work remotely with reasonable overlap with Central European Time (CET).

Key Soft Skills

• Ownership and accountability for architectural decisions and delivery.

• Cross-functional collaboration with engineering, product and business stakeholders.

• Clear communication of technical concepts and trade-offs to different audiences.

• Adaptability as AI technologies develop, with a focus on practical business value.

What We Offer

• Competitive salary aligned with experience.

• Collaborative and transparent team culture.

• High-impact role in a scaling fintech company.

• Recognition of personal milestones and achievements.

• Social benefits.