Work alongside our engineering, AI, Microsoft technologies, and digital transformation teams on real client and internal projects.
Work on practical enterprise technology projects, client-facing systems, and production codebases rather than isolated synthetic training exercises.
Learn directly from senior Microsoft architects, solution engineers, and founders through pair programming, weekly architectural reviews, and constructive feedback.
Get hands-on exposure to modern enterprise platforms: Microsoft Copilot Studio, Azure OpenAI, Power Platform, SharePoint Online, and modern Next.js edge web stacks.
Take responsibility for meaningful modules, features, and deliverables. You will see your work deployed, tested, and actively used.
Build demonstrable proof of your practical engineering ability with public GitHub contributions, live web architectures, and verifiable cloud implementations.
Build high-performance web applications and backend systems utilizing TypeScript, Next.js, Node.js, and modern cloud APIs.
Craft pixel-perfect, accessible, and fast enterprise user interfaces with modern CSS, Tailwind, and React architectures.
Design resilient microservices, secure authentication layers, database schemas, and integration middleware.
Experiment with retrieval-augmented generation (RAG), vector embeddings, LLM orchestration, and enterprise search integration.
Develop autonomous multi-step workflow agents, webhook triggers, and enterprise process automations.
Gain hands-on experience in enterprise tenant administration, security boundaries, Entra ID, and digital collaboration tools.
Build modern SharePoint intranet solutions, document management architectures, and custom SPFx web parts.
Create low-code enterprise applications, automate manual approval workflows, and model business data with Dataverse.
Deploy scalable infrastructure, CI/CD automated build pipelines, DNS configurations, and edge caching networks.
Design clean enterprise workflows, wireframes, design systems, and responsive design prototypes in Figma.
Write technical case studies, cloud architecture guides, enterprise whitepapers, and manage B2B social distribution.
Produce crisp product walkthrough videos, architecture explainers, social clips, and interactive web visual assets.
Next.js 15, SSR, Edge Middleware, and Cloudflare integration.
Tenant health check diagnostics, licensing analytics, and security audits.
Modern corporate intranet hubs, SPFx components, and document hubs.
Multi-step automated reasoning, prompt evaluation suites, and RAG pipelines.
Custom conversational AI agents connecting to internal Dataverse tables.
Power Automate cloud flows replacing manual approval paper trails.
Diagnostic scripts, automated build pipelines, and documentation engines.
Interactive calculators, ROI estimators, and assessment engines.
Benchmarking LLM latency, vector indexing, and zero-trust policies.
We look for curious people who learn quickly, communicate clearly, take ownership, and are excited to solve real problems.
Looking for practical industry experience during semester or summer breaks.
Ready to transition academic fundamentals into production systems.
Builders who learn by creating projects, reading docs, and experimenting.
Engineers who have built side projects, scripts, or contributed to repos.
Motivated professionals transitioning into software and cloud consulting.
Visual thinkers and technical communicators passionate about clarity.
Please email us with the role you'd like to apply for and a short explanation of why you think you'd be a good fit.
We review every application individually. Please include links to your GitHub, live projects, or portfolio.
Name, university or current organization, and your current year or professional status.
The technical track you want to focus on (e.g. Full Stack, Copilot Studio, M365, Automation).
Links to your GitHub profile, live project demos, personal website, or LinkedIn.
A few sentences about a problem you enjoyed solving and why you want to build with Empathy.
Your earliest available start date and expected weekly working hours.