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    Home/Jobs/AI SDE 2 Full Stack

    AI SDE 2 Full Stack

    Hiver

    Bengaluru
    3-5 years
    Today
    ₹15–28 LPA
    Full-time
    Hybrid

    Skills Required

    Embeddings
    RAG
    Vector Database
    React
    Next.js
    TypeScript
    Go
    Java
    Python
    Distributed Systems
    SQL
    NoSQL
    Cloud Infra
    AWS
    Containers

    Description

    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.

    Company: Hiver

    Role: AI SDE 2 Full Stack

    Location: Bengaluru, Karnataka, India (Hybrid, Full-time)

    Experience:

    • 3-5 years building and scaling production systems end-to-end

    Key Skills:

    • React/Next.js
    • TypeScript
    • Go/Java/Python
    • Distributed systems
    • Concurrency
    • Performance
    • Resiliency
    • SQL
    • NoSQL/caches
    • Cloud infra (AWS preferred)
    • Containers
    • CI/CD
    • Production model serving (embeddings, RAG, inference APIs)

    Role Focus:

    • 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

    Nice to have:

    • Experience with vector databases (pgvector, Pinecone, OpenSearch)
    • Familiarity with vLLM, Triton, TorchServe, or model quantisation
    • OpenTelemetry, feature flag platforms, A/B testing systems
    • Prior experience building B2B SaaS or email/collaboration products

    Prepare for this role

    Recommended resources to build the skills for this position. Sponsored.

    Python for Everybody Specialization

    Coursera

    Learn Python from scratch — variables, data structures, web scraping, and databases.

    Python 3 Programming Specialization

    Coursera

    Intermediate Python covering classes, inheritance, APIs, and data processing.

    AWS Machine Learning Specialty

    Coursera

    Prepare for the AWS ML Specialty certification — SageMaker, Bedrock, and AI services.

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