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. (ref:hirist.tech)