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Find jobsLemon.io vets vibe coders for the part AI can't do for them: spotting bad output, making sound engineering decisions, and owning the code after it ships.
Andrei-Alexandru is a senior AI engineer and data scientist with deep expertise in computer vision, time series analysis, and end-to-end machine learning pipelines. He has significant experience with Python, PyTorch, SQL, Snowflake, and major cloud platforms (AWS, Azure). Screenings confirm strong skills in MLOps, LLMs, and building production-grade AI solutions. He holds a PhD in Automation and Computer Science and has led teams and projects in both industrial and SaaS domains.
Nicholas is a senior AI engineer with a strong background in edge AI and computer vision, focusing on optimizing real‑time systems in startup environments. He specializes in Python‑based machine learning and MLOps, pairing deep technical ownership with clear, business‑oriented thinking. With a fail‑fast but pragmatic mindset, he delivers tangible results and consistently brings passion, a strong sense of responsibility, and clear communication that foster trust, alignment, and effective collaboration. This combination makes him a highly valuable addition to any team.
Natalia is a Senior AI engineer with 8 years of experience, specializing in Python, LLM systems, LangChain, OpenAI, RAG pipelines, and AWS. She has led engineering teams and architected production-grade AI platforms, combining backend, API, and MLOps expertise. Lemon.io's vetting confirms her strong communication, client-facing skills, and ability to translate requirements into robust solutions!
Jakub is a full-stack developer with extensive experience working with Node.js, React.js, Typescript, and Next.js. He has up-to-date knowledge of technologies, a positive attitude, and the skill to ask the right questions, making him a valuable developer for any project. Jakub has extensive experience in the Fintech domain and is ready to work in healthtech, education, or gaming. With a strong passion for education and technology, he has led a variety of international projects and mentored interns and junior developers.
Vladyslav is a senior AI and MLOps engineer with deep expertise in Python, LLM systems, LangChain, and production-scale RAG pipelines. He has led end-to-end architecture and delivery of agentic AI solutions, including multi-agent orchestration, fine-tuning, and continuous evaluation in regulated domains. With experience at companies like Asana and Bloomberg, he combines high autonomy and direct client communication with a strong product mindset, backed by proven mentoring and leadership experience.
Belal is a staff-level AI/ML engineer with 12 years of Python experience and 5 years working with LLMs, multi-agent systems, and modern AI architectures. He has led the design and implementation of large-scale codebase migration platforms, demonstrating strong systems thinking, evaluation rigor, and operational safety awareness. His background includes team leadership, client-facing roles, and a Ph.D. in Computer Engineering. Communication is clear and collaborative, with a focus on metrics-driven decisions and architectural clarity.
Senior Python & AI Engineer who led 4 engineers and delivered production LLM applications for startups, including a YC-backed company. As the sole AI systems developer, he took full ownership of end-to-end delivery from RAG implementations to production deployment on ECS/Fargate with CI/CD pipelines. Strong focus on shipping reliable AI solutions with evaluation datasets and runtime monitoring.[](https://devsecopsschool.com/blog/devops-excellence-across-ci-cd-pipelines-cloud-and-sre-hyderabad/)
Tim is a senior full-stack engineer with 18 years of experience, specializing in Node.js, TypeScript, AWS, and React. He has led architecture and development for distributed, event-driven systems and microservices, and is skilled in database design and cloud infrastructure. Screenings confirm strong technical depth, clear communication, and effective leadership in both backend and frontend roles.
William is a Senior Back-end Engineer and Middle-level AI Engineer with 7 years of hands-on Python experience, having started his career as an Assistant Teacher. He has led engineers and worked directly with stakeholders across startups and larger companies such as Motorola. William has practical experience with modern LLM application patterns, including agents, RAG, embeddings, vector databases, and basic prompt-safety practices.
Developers who got their wings at
How it works
Fill in a short form
Tell us about your project, timeline and hours, then look through our vetted vibe coders.
Take a 30-minute call
A Lemon.io matching expert goes over your needs and gives you a budget estimate.
Meet 1–3 candidates
You get 1–3 coder profiles, usually within 24 hours. Interview them the way you normally would.
Start working
Your vibe coder joins your team part-time or full-time and works directly with you.
Reached out on Monday evening, connected Tuesday morning, had four qualified candidates by Wednesday.
We had an excellent experience. Process is fast from the initial intake through setting up payment.
The developers helped us speed up. They quickly learned their part of the app and we’re grateful for their contribution.
We vet every coder
Every vibe coder passes a live interview with a senior engineer. We accept 1.2% of applicants.
We hand-pick your matches
A matching expert picks people by your stack, domain and time zone, and tells you why each one fits.
We handle the paperwork
We handle contracts, NDAs and invoices. You pay Lemon.io, and we pay your coder.
We stay after you hire
Your Lemon.io manager stays in touch with you both. If it doesn't work out, we find a replacement for free.
The lemon tea
Giving Cursor or Claude Code a detailed prompt is the easy part. But how do you know whether the generated code belongs in production?
A good vibe coder uses AI to skip repetitive work and move through features faster. However, they don't let AI tools decide the architecture, introduce security risks, or generate a bug-heavy codebase. That's the difference we vet for.
Check the engineering fundamentals
AI can make a mediocre developer look productive for surprisingly long. We test whether candidates can still reason about architecture, APIs, databases, testing, security, and performance without outsourcing those decisions to the model.
Watch them work with AI
Listing Cursor, Claude Code, GitHub Copilot, or Windsurf on a CV proves very little. We look at how developers break down tasks, give context to the model, review generated code, catch wrong assumptions, and recover when the first answer doesn't work.
Verify they can ship it
A feature working locally is not the finish line. We look for developers who can take AI-assisted code through testing, code review, deployment, monitoring, and the inevitable changes that come after real users start using the product.
Why hire vibe coding
A strong vibe coder can cover much more than weekend prototypes. They can move quickly through repetitive implementation work while still making the decisions that keep the product stable and maintainable. That makes them especially useful for teams with a long backlog and limited engineering capacity.
MVPs and new products
Turn product requirements into working user flows quickly, test the idea with real users, and keep enough engineering discipline so that traction doesn't immediately force a rebuild.
SaaS features
Move through dashboards, onboarding, billing, permissions, integrations, admin panels, and other features without manually writing every predictable piece of application code.
Internal tools
Build reporting tools, CRUD applications, workflow automation, and lightweight systems your team has been putting off because engineering had more urgent priorities.
AI-powered features
Add chat, search, summarization, content generation, document processing, or other LLM-powered functionality without assembling a dedicated AI team for a straightforward API-based integration.
The experience with Lemon.io has been fantastic. The interview process has been good, the caliber of people – excellent and integration has been very smooth.
We needed extra developers to clean off all these bugs so the company could skyrocket.
We needed extra AI engineers to keep our ambitious project running.
Register on Lemon.io and share your project requirements, tech stack, and the level of involvement you need.
Our team handpicks 1—3 developers from our vetted network who match your needs, so every interview you take is worth your time.
You choose your preferred candidate, we handle the onboarding, and your new vibe coder can be building your product in days. Full-time or part-time, the choice is yours.
A vibe coder is an AI-native developer who uses AI tools — like GitHub Copilot, Cursor, or similar — as a core part of their development workflow. They combine strong software engineering fundamentals with the ability to leverage AI to ship faster, iterate quicker, and solve complex problems 5x faster.
Every vibe coder goes through a rigorous screening process that evaluates both their core engineering skills and their hands-on proficiency with AI-assisted development tools.
We test real-world scenarios where AI workflow plays a crucial role, rather than just validating theoretical knowledge.
Once you share your requirements, we respond with a curated shortlist of matched vibe coders within 24-48 business hours.
You interview several pre-vetted candidates and choose the best fit, with onboarding typically completed within a week.
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