Full-Stack AI Engineer

Full-Stack AI Engineer

Help us design and ship AI-infused products end-to-end for our clients overseas. You’ll work on prompts, workflows, and agents—and learn how to turn prototypes into production-ready systems.

What you’ll do

Build AI-powered applications and agents that solve real business problems.

Contribute to prompt engineering, RAG pipelines, embeddings, and orchestration.

Work across the stack : frontend (Svelte, React, TypeScript), backend (Python / Node / Go), and databases (SQL / NoSQL / vector stores).

Explore new models, APIs, and dev tools—and bring the best ideas into production.

Collaborate with senior engineers and product teams to turn ideas into shipped features.

About you

An AI-native builder—curious, creative, and always experimenting.

You already use tools like Cursor, Copilot, or Claude Code and love the boost they give you.

You’ve built apps or prototypes with low / no-code AI tools (e.g., Luvable, v0, etc.)

You’re one of the first to try new models (text, image, video) to see what’s possible.

You’ve hacked together small agents / automations for real tasks (notes, scheduling, etc.).

Maybe not a long résumé, but a portfolio of experiments, side projects, or clever hacks that show you love building with AI.

Comfortable with Python, React, and JavaScript / TypeScript basics—and excited to grow across the full stack.

Most importantly, you see AI not as “magic” but as a powerful toolbox that, in the right hands, can make magic happen.

Nice to have

Links to your portfolio, GitHub, or demos of agents you’ve built.

Why Devcansol

AI-native, builder-led.

We ship real features to production fast—beyond demos and hype.

End-to-end ownership.

Touch prompts, agents, React / TS, Python / Node / Go, and SQL / NoSQL / vector DBs.

Mentorship & growth.

Pair with senior engineers, get tight feedback loops, and level up quickly.

Low-ego, high-trust culture.

Autonomy, clear outcomes, and portfolio >

pedigree.