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Full-Stack Ai Engineer
Full-Stack Ai EngineerDevcansol Private Limited • Republic Of India, IN
Full-Stack Ai Engineer

Full-Stack Ai Engineer

Devcansol Private Limited • Republic Of India, IN
1 day ago
Job description

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.

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