Senior Software Engineer, AI

About PubNub

PubNub powers real-time experiences for 2,000+ companies including Verizon, Autodesk, Zillow, and Dropbox.

Our global data network processes trillions of messages monthly with sub-100ms latency across 15+ data centers worldwide.

We’re now building an AI capability layer that enables developers to add AI features (classification, summarization, routing, enrichment, automation) directly into real-time streams — without compromising latency, reliability, or trust. This is where you come in.

What You’ll Build

You’ll design and operate production AI services that integrate directly into PubNub’s real-time messaging platform. This is a systems + platform engineering role with applied AI, not research.

You’ll work on:

• AI-powered moderation and enrichment pipelines
• Low-latency inference systems running on high-throughput streams
• Internal APIs, SDKs, and tooling that enable product teams to ship AI safely
• Observability, evaluation, drift detection, and production debugging workflows
• Model routing, retrieval patterns (RAG), batching, caching, fallbacks
• Trade-offs between latency, cost, accuracy, and privacy

You will not be training foundation models from scratch.

About You

• 5+ years backend / platform engineering experience
• 1+ year shipping AI-enabled features in production
• Experience integrating LLMs (OpenAI, Azure OpenAI, Bedrock, OSS models, etc.)
• Experience building high-throughput systems (streaming, queues, real-time APIs)
• Strong fundamentals in system design (performance, reliability, observability)
• Fluency in TypeScript, Python, or Rust(and willingness to work across ecosystems)
• Comfortable using AI-assisted development tools (Copilot, Cursor, Claude, etc.)
• Fluent English

Nice to Have

• Real-time systems (Kafka, Kinesis, WebSockets, pub/sub, event-driven design)
• Kubernetes / Docker / infra-as-code
• Model serving tools (vLLM, Triton, TensorRT, TorchServe)
• Vector search / embeddings / RAG pipelines
• Experience handling PII, compliance, safety guardrails in AI systems

Why This Role Is Interesting

• You’ll ship AI that runs in real time — not offline batch jobs
• You’ll solve hard constraints: latency, scale, cost, trust
• You’ll build internal platform primitives used across multiple teams
• You’ll work on greenfield AI systems with real production impact

Why PubNub

• Remote-first within Poland
• Optional office in central Katowice
• Competitive B2B compensation: 26 000 – 35 000 PLN net/month
• Work on real production AI at global scale
• Engineering-heavy culture (50%+ developers)

If you want to build AI that works under real-world scale constraints, not just demos, we’d love to talk.