Senior Software Engineer (AI/LLM Systems)

Responsibilities

• Ship AI-powered features into production
• Integrate LLM inference, build evaluation and observability tooling, and own the full lifecycle of AI services - from quality metrics and tracing to cost and reliability.You'll work with providers like OpenAI, AWS Bedrock, Azure, or open-source models and deliver features used by real customers.
• Build & operate AI services at scale
• Design low-latency inference pipelines for high-throughput message streams.Implement model routing, prompt and retrieval patterns (RAG), caching, batching, and fallbacks.You'll solve real-world constraints around latency, scale, and cost.
• Enable other teams
• Build internal frameworks, APIs/SDKs, and tooling so other teams can ship AI features safely and consistently.Partner with product and engineering on trade-offs between latency, cost, accuracy, and privacy.Clear documentation and great developer experience matter here.
• Tech & Communication
• Work mainly with TypeScript, Python, or Rust (and be open to learning the others).Use modern AI-assisted tools (Copilot, Cursor, Claude, etc.).Communicate clearly in English.
• How we Work
• Long-term B2B collaboration (full-time engagement)
• Competitive monthly compensation: 26,000 - 35,000 PLN + VAT
• Remote-first within Poland
• Flexible time management focused on outcomes
• Access to modern tools and infrastructure required to perform the role effectively
• Equity participation opportunity
• Optional access to our centrally located Katowice office
• If this sounds like the kind of systems challenge you enjoy, apply and include a short note about a production AI feature you've shipped.We review every application personally.

Benefits

Additional Information

About PubNub PubNub is a San Francisco-based product company powering real-time experiences including chat, live updates, and interactive applications for 2,000+ companies including Verizon, Autodesk, Zillow, and Dropbox. Our global data network processes trillions of messages each month with sub-100 ms latency across 15+ data centers worldwide. We're building an AI capability layer that helps developers add AI features to real-time streams such as classification, summarization, routing, enrichment, and automation, without breaking latency, reliability, or trust.

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