Software Engineer, Python (AI Squads)

TL;DR

Software Engineer (Python, AI): Building platforms, services, and tooling that support AI-powered products, from inference and embeddings to APIs and data flows, with an accent on reliability, performance, and usability. Focus on delivering AI in production at scale through microservices and collaboration with ML teams.

Location: Dublin, Ireland; Krakow, Poland

Company

hirify.global is building the future of global connectivity, transforming and modernizing what's antiquated, automating the manual, and solving real-world problems through innovative connectivity solutions.

What you will do

• Build, test, and deploy scalable Python microservices for AI-powered systems, including text and voice processing.
• Design developer-friendly APIs and internal tools that make AI easy to use across the hirify.global product ecosystem.
• Contribute to AI inference, embeddings, and platform services that support real-time and low-latency workloads.
• Optimize performance, reliability, and observability in production environments.
• Collaborate with Product, Infrastructure, and ML teams to bring features from ideation to production.

Requirements

• 3+ years of professional software development experience in Python.
• Strong grasp of async Python frameworks (e.g. FastAPI, Starlette).
• Experience building and operating microservice-based systems.
• Comfort working with relational databases at scale.
• Solid understanding of distributed systems and production reliability.
• Familiarity with LLM frameworks and tools, or strong experience building backend or platform systems that support ML workloads.

Nice to have

• Experience with distributed computing frameworks such as Ray (Ray Core, Serve, Train).
• Exposure to cloud-native stacks (Docker, Kubernetes, Prometheus, Jaeger).
• Knowledge of LLM optimization techniques.
• Background in Retrieval Augmented Generation (RAG) systems.
• Experience working with GPU stacks such as AMD ROCm.

Culture & Benefits

• Autonomy to take ownership of meaningful projects.
• Contribute ideas that shape the product roadmap.
• Collaborate with talented people who care deeply about impact, quality, and long-term thinking.