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AI SDE 2 Full Stack

Hiver

Job Location:

Bengaluru - India

Monthly Salary: Not provided by the employer

Posted: 12 September 2026 (4 hours ago)

Application Deadline: 10 December 2026

Vacancies: 1 Vacancy

Department:

Engineering

Job Summary

About us:

Hiver is a modern AI-driven customer service platform used by companies across healthcare finance logistics education and technology. We help teams deliver fast human support across email chat phone WhatsApp and more without the complexity of legacy helpdesks.

Were a challenger brand in a category dominated by over-engineered tools. We build software that is simple powerful and genuinely helpful and we operate internally with that same philosophy. If you want meaningful ownership thoughtful teammates and work that ships Hiver is a great place to do it.

Opportunity:

As an SDE II (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.

Key Responsibilities

What you will do

Full-Stack Product Engineering

Build intuitive performant UIs in React/ 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 are we looking for

Must Have

3-5 years building and scaling production systems end-to-end.
Strong proficiency in React/ 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