AI Full-Stack Developer Needed
Budget: $25 – $50 USD
No experience or past work?
Never mind, send your proposal.
If you're good at communication, I'd love to talk.
You're free to use AI coding tools or anything. First priority is your English proficiency.
I’m refining a product that blends classical back-end engineering with modern AI, so I need a developer who is equally comfortable switching between Python, Java, and vanilla or Node-based JavaScript. Most of the challenges revolve around building robust services and then injecting intelligence—think machine-learning pipelines and LLM-powered features—into those services so they scale cleanly in production.
Here’s how I picture our collaboration:
• You’ll own end-to-end implementation of new ML and LLM components, exposing them through clean APIs that mesh with an existing microservice architecture.
• On the back-end side you might be tweaking Java Spring modules one day and scripting Python data jobs the next; front-end touch-ups in plain JS may crop up occasionally.
• Clear, prompt communication is crucial. Demonstrate that skill up front in your proposal, along with any quick pointers to past projects that show similar AI-enabled back-end work.
If this mix of AI fluency and full-stack pragmatism sounds like your wheelhouse, let’s talk timing and milestones so we can get coding right away.
Never mind, send your proposal.
If you're good at communication, I'd love to talk.
You're free to use AI coding tools or anything. First priority is your English proficiency.
I’m refining a product that blends classical back-end engineering with modern AI, so I need a developer who is equally comfortable switching between Python, Java, and vanilla or Node-based JavaScript. Most of the challenges revolve around building robust services and then injecting intelligence—think machine-learning pipelines and LLM-powered features—into those services so they scale cleanly in production.
Here’s how I picture our collaboration:
• You’ll own end-to-end implementation of new ML and LLM components, exposing them through clean APIs that mesh with an existing microservice architecture.
• On the back-end side you might be tweaking Java Spring modules one day and scripting Python data jobs the next; front-end touch-ups in plain JS may crop up occasionally.
• Clear, prompt communication is crucial. Demonstrate that skill up front in your proposal, along with any quick pointers to past projects that show similar AI-enabled back-end work.
If this mix of AI fluency and full-stack pragmatism sounds like your wheelhouse, let’s talk timing and milestones so we can get coding right away.