Staff Software Engineer (AI)

TL;DR

Staff Software Engineer (AI): Building and operating AI-powered services on the hirify.global platform with an accent on integrating LLMs, multimodal AI, and advanced NLP capabilities into reliable, scalable production systems. Focus on shaping system architecture, leading complex cross-team initiatives, and driving operational excellence for large-scale AI platforms.

Location: Onsite in Warsaw, Poland

Company

hirify.global is building the world’s most advanced data and applications platform, enabling organizations to unlock the full potential of their data at a global scale.

What you will do

• Act as a technical leader, combining hands-on engineering with architectural and strategic influence.
• Architect and drive the development of large-scale AI platforms and services, including LLM- and multimodal-based systems.
• Own end-to-end technical design of critical systems across APIs, SDKs, distributed services, control planes, and production deployments.
• Lead the resolution of complex, cross-team engineering problems spanning multiple services.
• Define and evolve technical standards, best practices, and architectural patterns for AI-related systems.
• Partner with research, product, infrastructure, and security teams to translate requirements into scalable, production-ready solutions.

Requirements

• 4+ years of experience building and operating production-grade, distributed systems at scale.
• Expert-level backend development skills, with Python strongly preferred.
• Proven experience designing and owning public-facing SDKs and service APIs.
• Strong foundation in distributed systems, including concurrency, fault tolerance, scalability, and performance optimization.
• Hands-on experience building AI/ML platforms, such as model inference services, data pipelines, or AI-centric APIs.
• Solid understanding of LLM and NLP system requirements and ability to bring research prototypes to production.
• Deep familiarity with modern software engineering practices, including CI/CD, automated testing, Docker, and Kubernetes.
• Strong focus on operability and reliability, including monitoring, alerting, debugging, and incident response.
• Ability to clearly communicate complex technical concepts to senior leadership and make high-impact decisions.
• MSc in a relevant technical field (Computer Science, AI/ML, Data Science, Mathematics, Physics, or related).

Nice to have

• Experience designing or operating control-plane and data-plane services.
• PhD in a relevant technical field.

Culture & Benefits

• Culture focused on impact, innovation, and collaboration.
• Opportunity for building big, moving fast, and taking technology and careers to the next level.
• Working to empower enterprises and people to achieve their full potential.
• Scaling a team to enable and accelerate growth.
• Working on a future-building company.