Software Development Engineer III - Full Stack Technologies

Opportunity : As an AI SDE III (Full Stack) 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. Key Responsibilities : What you will do : Full-Stack Product Engineering : - Build intuitive, performant UIs in React/Vue 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 and product to deliver polished, consumer-grade UX. Backend, Distributed Systems and 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 and Observability : - Implement secure, compliant data handling for structured/unstructured customer data. - Own observability across the stack tracing, metrics, dashboards, feature flags, and SLOs. - Lead debugging of complex issues across frontend, backend, infra, and model pipelines. - Drive postmortems, root-cause analysis, and process improvements. What we are looking for : Must Have : - 5+ years building and scaling production systems end-to-end. - Solid backend expertise in Go/Java/Python. - Strong proficiency in React/Vue and TypeScript. - 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, and A/B testing systems. - Prior experience building B2B SaaS or email/collaboration products.