Full Stack Engineer

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.