Not Just Developers. AI-Native Problem Solvers.
Traditional engineers write code. Our AI-powered engineers design, build, and optimize entire workflows — combining solid software fundamentals with the latest AI tools and practices.
Cover a wide range of skills: frontend, backend, mobile, cloud, DevOps, data, and applied AI.
Collaborate with AI co-pilots and automation to accelerate development, testing, documentation, and debugging.
Understand product and business context, not just tickets — so they can suggest optimizations, not just implement tasks.
One Talent Cloud. Many Skill Sets.
Our AI-powered engineers and developers cover a wide range of technologies and capabilities — so you can assemble exactly the team you need.
Core Engineering Skills
- Frontend: React, Next.js, Vue, Angular, TypeScript, Tailwind, modern UI architecture
- Backend: Node.js, Python (Django / FastAPI), Java, .NET, Go, PHP (Laravel), Ruby on Rails
- Mobile: React Native, Flutter, Kotlin, Swift, cross-platform app development
- Cloud & DevOps: AWS, GCP, Azure, Docker, Kubernetes, CI/CD pipelines, Terraform, monitoring & observability
AI & Automation Skills
- LLM Integration: OpenAI, Anthropic, open-source LLMs, RAG pipelines, prompt engineering
- AI Agents & Workflows: Building AI agents, integrating with tools like n8n, Zapier, Make, and internal APIs
- ML & Data: Python for ML, scikit-learn, basic model training & evaluation, data pipelines with Airflow or similar
- Productivity Automation: Using AI for test generation, code review support, documentation, and internal tooling
Data & Product-Oriented Skills
- Data Engineering: ETL pipelines, SQL/NoSQL, data warehousing, analytics integration
- Analytics & Experimentation: Event tracking, dashboards, A/B testing infrastructure
- Product Sense: Working with PMs and founders, translating requirements into technical scopes, suggesting improvements
AI in Their Daily Workflow — Not Just on Their CV
Being “AI-powered” at AppGenie means more than knowing how to use ChatGPT. Our engineers:
• Use AI co-pilots and tools to write, refactor, and test code faster
• Automate repetitive tasks (deployments, reports, QA checks, documentation)
• Follow best practices for security, reliability, and data privacy when using AI
• Continuously learn from our internal playbooks, reusable prompts, and AI engineering patterns
The result: higher velocity, fewer errors, and a team that gets compounding benefits from AI over time.
Frequently Asked Questions (FAQs)
From classic web and mobile apps to AI-enhanced products, internal dashboards, integrations, and automation tools. If your project touches software and you want more speed or leverage, an AI-powered engineer can help.
No. Our engineers are first and foremost strong software developers. AI is a multiplier for how they design, code, test, and ship — not a replacement for solid engineering fundamentals.
Yes. We match engineers based on your current stack and roadmap. Most are comfortable onboarding into existing codebases, tooling, and processes.
We support overlapping working hours with key time zones (e.g., North America, Europe, Asia). We’ll suggest engineers who best align with your location and collaboration needs.
In most cases, you’ll receive your first shortlist within a few days and can onboard your first engineer in 1–2 weeks, depending on your requirements and interview process.