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    Job · 19120399

    FULLTIME

    Full Stack Engineer

    pupiltree.ai logo

    pupiltree.ai

    Not specified · onsite · Posted 27d ago

    Sourced fromFoundit
    Not disclosed3–7 yrsfulltimeNot specified

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    Section · 01

    About this role

    About the role

    We are hiring hands-on Full Stack Software Engineers to build production-grade products and platforms across PMB (Powers My Biz) and Pupiltree.ai projects. This is an execution-focused individual contributor role for engineers who enjoy taking ownership, shipping meaningful outcomes, and improving systems until they are reliable, scalable, and maintainable.

    Work arrangement

    This role may be remote or on-site depending on the project. When on-site work is required, the location will be Ballari (Bellary), Karnataka.

    What you will do

    - Build and ship full-stack product features across frontend, backend, APIs, data systems, and cloud infrastructure.
    - Develop systems that combine LLM-powered workflows with deterministic business logic, validations, controls, and standard software components.
    - Translate ambiguous business requirements into robust technical solutions.
    - Use AI-assisted development tools effectively while reviewing, testing, fixing, and hardening the resulting code.
    - Improve legacy, generated, and newly built modules through thoughtful refactoring and productionization.
    - Diagnose issues involving correctness, edge cases, reliability, performance, observability, scalability, and developer usability.
    - Convert one-off solutions into reusable, configurable services and platform components.
    - Improve predictability, control, cost efficiency, and reliability in LLM-backed systems.
    - Troubleshoot production issues, identify root causes, and implement durable fixes.
    - Help PMB and Pupiltree.ai move from custom execution toward repeatable products and scalable platforms.

    What we are looking for

    - 3-7 years of experience building and shipping production-grade web applications or software products.
    - Strong full-stack capability across frontend, backend, APIs, databases, and cloud environments.
    - Proven ability to independently build, debug, optimize, and improve production or near-production systems.
    - Experience using LLMs, AI coding assistants, and modern developer tooling in day-to-day engineering work.
    - Strong understanding of production readiness: testing, security, observability, reliability, scalability, maintainability, and code quality.
    - Strong ownership, accountability, and clear communication in fast-moving environments with evolving priorities.

    Technical skills

    You should be strong across most of the following:
    - React, Next.js, TypeScript, and modern frontend architecture.
    - Node.js, Python, or comparable backend stacks.
    - REST APIs, GraphQL, service integrations, and asynchronous workflows.
    - SQL and NoSQL databases, caching, queues, and job workers.
    - AWS, GCP, or Azure.
    - CI/CD, automated testing, logging, monitoring, and observability.
    - LLM APIs, prompt workflows, structured outputs, orchestration, evaluation, routing, and fallback handling.

    Preferred experience

    - Products combining LLM workflows with conventional software systems.
    - Structured outputs, retries, monitoring, fallbacks, and human-in-the-loop mechanisms for AI systems.
    - High-volume, performance-sensitive, or large-scale applications.
    - Startup, founder-led, or high-ownership teams.
    - Reusable internal tools, platforms, frameworks, or cross-domain product modules.

    How to apply

    Please share:
    - Your CV.
    - A link to production code or a product you have built and shipped.
    - A short note describing a system you helped harden for production, including what was broken, what you changed, and how you knew it was ready to scale.

    If you like building real systems, solving difficult problems, and raising the quality bar with every release, we would like to hear from you.

    Sourced from foundit

    Section · 02

    Skills

    GraphQLobservabilityJob workersNext.jsorchestrationautomated testingcachinggoogle cloud platformamazon web servicesnosql databasesEvaluationloggingMonitoringLLM APIsRoutingstructured outputsqueuesprompt workflowsPythonNode.JsTypescriptReact.JsSQLREST APIMicrosoft AzureCi/Cdfallback handling

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