Engineering Manager (AI)

TL;DR

Engineering Manager (AI/SaaS): Leading a high-performing team of software engineers to build AI-powered, cloud-native legal data intelligence platforms with an accent on API-first architectures and data-driven development. Focus on integrating LLMs and machine learning via APIs, evolving scalable NoSQL systems, and mentoring technical talent.

Location: Remote (Poland)

Salary: 288,000 – 432,000 PLN

Company

hirify.global is a leading legal data intelligence company providing an AI-powered cloud platform for litigation, investigations, and regulatory inquiries.

What you will do

• Lead and mentor a team of software engineers and architects across multiple product areas.
• Drive the development of applications with a strong emphasis on AI-driven and data-driven capabilities.
• Architect and promote API-first, service-oriented systems ensuring scalability and extensibility.
• Provide hands-on technical contribution to software design, coding, and system integration.
• Guide adoption of modern NoSQL data technologies (e.g., MongoDB) and effective data modeling.
• Enable teams to build intelligent features leveraging LLMs and machine learning integrations.

Requirements

• Must be based in Poland.
• 5+ years of software engineering experience, with at least 2 years in a leadership or management role.
• Strong hands-on experience with Java, Python, or similar programming languages.
• Proven experience designing API-based microservices architectures and working with NoSQL databases.
• Experience integrating AI tools (e.g., Copilot, Claude) into development workflows and products.
• Experience with SaaS or enterprise-scale distributed systems in an Agile/Scrum environment.

Nice to have

• Experience building AI-native features (prompt engineering, RAG, LLM integrations).
• Experience with event-driven architectures and streaming platforms.
• Background in legal tech, eDiscovery, or FedRAMP compliance.
• Exposure to strategic planning and execution at scale.

Culture & Benefits

• Competitive base salary and annual performance bonus.
• Long-term incentive programs.
• Commitment to fair and equitable compensation practices.
• Opportunity to work with cutting-edge AI and cloud-native architecture.