As an SDE III (Full Stack + AI) at Hiver, you will work end-to-end across frontend, backend, and AI systems to craft the next generation of collaborative email, automation, and AI-powered customer service workflows.

You will own major product surfaces, architect scalable systems, and bring intelligent experiences to life in the UI while ensuring reliability for 5M+ emails processed daily across thousands of active users.

What you will do ?

Full-Stack Product Engineering :

– Build intuitive, performant UIs in React/Next.js for email collaboration, analytics, and AI-assisted workflows.

– Ship features end-to-end across frontend, backend APIs, domain models, and data pipelines.

– Integrate AI suggestions, copilots, and retrieval-based workflows seamlessly into the product experience.

– Collaborate closely with design & product to deliver polished, consumer-grade UX.

Backend, Distributed Systems & AI

– Scale backend systems to handle rapidly growing traffic and AI workloads.

– Build low-latency inference and retrieval endpoints, caching layers, and model-serving pipelines.

– Improve reliability, resiliency, and performance across monolith and microservices environments.

– Work with Kafka/RabbitMQ to build high-volume, event-driven data flows.

– Partner with ML/AI teams to deploy embeddings, rerankers, RAG systems, and evaluation workflows.

Data, Security & Observability :

– Implement secure, compliant data handling for structured/unstructured customer data.

– Own observability across the stack tracing, metrics, dashboards, feature flags, SLOs.

– Lead debugging of complex issues across frontend, backend, infra, and model pipelines.

– Drive postmortems, root-cause analysis, and process improvements.

What were looking for ?

Must Have :

– 5+ years building and scaling production systems end-to-end.

– Strong proficiency in React/Next.js + TypeScript.

– Solid backend expertise in Go/Java/Python.

– Deep understanding of distributed systems, concurrency, performance, and resiliency.

– Experience with SQL plus familiarity with NoSQL/caches.

– Exposure to production model serving (embeddings, RAG, inference APIs).

– Strong fundamentals in cloud infra (AWS preferred), containers, and CI/CD.

Nice to Have :

– Experience with vector databases (pgvector, Pinecone, OpenSearch).

– Familiarity with vLLM, Triton, TorchServe, or model quantization.

– OpenTelemetry, feature flag platforms, A/B testing systems.

– Prior experience building B2B SaaS or email/collaboration products.

Are you interested in this position?

Apply by clicking on the “Apply Now” button below!

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