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    Job · 12688597

    REMOTEFULLTIME

    Full Stack Engineer

    Learner Mobile logo

    Learner Mobile

    Remote · remote · Posted 61d ago

    Sourced fromLinkedIn
    Undisclosed8–2 yrsfulltimeRemote

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    Section · 01

    About this role

    Position: Lead Full Stack Engineer (C#, React, Python)

    Location: Remote (Delhi, Gurgaon or Bengaluru)

    About Us Learner Mobile is a next generation Learning Management System and authoring platform, built by SVI in Arkansas, USA and operated in India as LM Solutions India Pvt. Ltd. For over two decades we have partnered with global companies across consulting, healthcare, retail, banking, and aviation. Our platform is now built around applied AI, and AI has made our own development fast—we ship a lot of code, quickly. The flip side is that testing, release flow, and consistency now need a dedicated owner who drives them rather than waiting to be handed a plan.

    Role Overview: We are looking for a Lead Full Stack Engineer to help shape technical direction across our whole product surface: the admin portal, the learner SPA, our React Native mobile app, the shared course player, and the Python AI services behind them. You will lead delivery, and own the test infrastructure and release gates that let a small team ship at this pace. This is a hands-on leadership role rather than a management track. You will still be in the code daily, and you will advise and influence how the systems fit together and what we take on or defer, working alongside our architect rather than in place of them. The position is remote and India-based, employed through LM Solutions India Pvt. Ltd., in close day-to-day partnership with the US-based Learner Mobile team.

    Our Stack: Backend — C# / .NET 10, ASP.NET Core, EF Core, SQL Server

    Frontend — React 18, Vite, MUI, React Native, TypeScript (adopted incrementally)

    AI services — Python 3.11+, FastAPI, agents, RAG over LanceDB, several model providers

    Cloud and CI — Azure (Functions, Container Apps, Blob, OpenAI, SignalR) and Azure DevOps

    How We Work: We build with AI, not only on top of it. Our engineers work daily with agentic coding tools such as Claude Code and GitHub Copilot, and our repositories carry checked-in conventions so those tools meet our standards. Every feature has a written specification with testable requirements our tests reference directly, and you will inherit a mature CI/CD setup rather than build one.

    What You'll Do: Architecture — help shape how our systems fit together—service boundaries, data model, and where new work belongs—and be a leading voice in design reviews.

    Technical direction — advise on build versus buy, model selection, which platform migrations we commit to, and which technical debt we pay down now.

    Hands-on delivery — stay in the code. You will ship features yourself across every one of those surfaces.

    AI features — build on our agent platform—source-to-course generation, the in-product assistant, knowledge-base retrieval—and weigh quality, cost, and latency.

    Test infrastructure — take it from disparate and incomplete to coherent and comprehensive, and design our end-to-end automation from a largely standing start.

    Quality gates — own the gates in our pipelines, including those that enforce design consistency, and champion releases: pace what ships and own the release cadence.

    Review flow — eliminate PR pile-ups with automation and team norms: pre-review gates, size and hygiene standards, CI that catches the obvious before a human looks.

    Data layer — evolve SQL Server schemas and queries, keeping operational and analytics workloads properly separated.

    Mentorship — grow the engineers around you through code review, pairing, and written standards, and keep spec-driven development a living practice.

    What We're Looking For: Experience — 8+ years in professional full-stack development, including time as a lead or principal engineer.

    Influence — a track record of technical direction others followed—an architecture you shaped, a migration you led, or a standard you established and made stick.

    System design — sound judgement on service boundaries, multi-tenancy, data modeling, and knowing when the simpler design wins.

    Polyglot stack — comfortable moving between C# / .NET, React, TypeScript / JavaScript, Python, and SQL.

    Applied AI — production experience on LLM APIs: prompt design, structured output, tool calling, and retrieval-augmented generation.

    Test automation — test infrastructure and end-to-end automation you have built that a team adopted and kept, with modern tooling such as Playwright.

    Azure — serverless-first instincts (we favor Functions and Container Apps over VMs). We use Azure DevOps, not GitHub.

    Temperament — self-driven, outspoken, and automation-first by reflex. You will speak up when a process, or a teammate's eight-PR dump, needs to change.

    Overlap — able to keep reasonable working-hours overlap with our US team.

    Sourced from linkedin

    Section · 02

    Skills

    React 18Asp.Net CoreEntity FrameworkPlaywrightAzure DevopsRetrieval Augmented GenerationMultitenancyC SharpMaterial UIAzure BlobGithub CopilotClaude CodeAzure OpenAIDot Net CoreViteLLM APIAzure Container Appstool callingAzure Signal Rprompt designPythonJavascriptTypescriptReact.JsMicrosoft AzureData ModelingSQL ServerFastAPIReact NativeAzure FunctionsLanceDBstructured outputAzure Blob StorageLLM APIs.NET 10System DesignGITAgileLarge Language Models (LLMs)SQL

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