Everybody we’ve gotten has been incredibly qualified and super passionate. Passion is rare among contractors, but here, we’ve seen a lot of passion for the technologies.
- days to the first line of code
- 10
- devs hired
- 7
- months working with Lemon.io
- 5
The startup with aneco-friendly vision
A marketplace for consumers to save money on high-end goods and reduce waste, SAVR pulls goods destined for the dumpster and brings them back to life:
High-fashion items are getting more expensive by the hour, and people are looking for ways to save money. We let them save money on things that are never on sale.
The need for extra hands
SAVR founder, Cormac Jonas, saw the waste in e-commerce retail, where returned goods often ended up in the dump.
Spotting a chance to keep brand new products out of landfills, and save consumers money, he hatched an idea for an app to connect online retailers with price-conscious consumers.
It was the perfect idea, but he needed more. He needed a team to make it real, diabolically fast.
We know that we can call Malky [Customer Success representative — Lemon.io] with any kind of crazy request — and generally, in 24 hours, we have at least a partial solution in place. That’s amazing.
Where the magic happens
After months of working on his startup, Cormac was ready for developers. He spoke with a handful of US-based and South America-based firms, before choosing Lemon.io’s vetted developers.
Lemon.io conjured two candidates in under 48 hours, and SAVR hired both. In a matter of months, they requested 5 more. With help from Lemon.io’s devoted devs, they were on their way to market.
The level of Lemon.io developers’ work has been consistently and considerably higher. Cost-wise, the marketplace is very competitive. It is a perfect mix of high value and high quality.
Divine devs that get things done
Andrii emerges as a well-rounded AI Engineer with senior-level proficiency in Data Science and Machine Learning. With loads of experience leading teams and diving into tough AI challenges, he's got NLP, Computer Vision, and LLMs down to an art. Whether it's building with AWS SageMaker or tackling MLOps with Kubernetes, Andrii brings the technical chops and leadership to make big AI projects happen, all while keeping business goals front and center. On top of that, he's a great communicator and team player, always able to break down complex ideas and make collaboration easy and effective. His positive attitude and problem-solving mindset make him a joy to work with!
Viktor is a Senior backend and Mid-to-Senior full-stack engineer with strong Python fundamentals, practical machine learning experience, and solid product development skills. He has led end-to-end product development, combining backend engineering with machine learning and user-facing application development, and is comfortable communicating with stakeholders. His strengths include backend engineering, ML problem solving, product development, and clear communication. He is best suited for backend-heavy or ML-enabled product roles, particularly where he can contribute to building and improving data-driven products.
Marcello is a Strong Senior AI Engineer with 14 years of experience across machine learning, reinforcement learning, and LLM-based agent systems. He has led end-to-end AI solutions using Python, LangChain, RAG, AWS, and Azure, with a focus on structured data extraction and scalable agent orchestration. He combines strong technical depth with pragmatic decision-making, grounded in real-world constraints and business needs. Marcello is an effective client-facing engineer who communicates clearly, aligns stakeholders, and delivers production-ready systems. His experience spans both startup and enterprise environments, with a hands-on and ownership-driven approach.
Benjamin is a middle-to-senior backend engineer with experience in Go, async API design, and cloud architecture across GCP and AWS. He has built and shipped end-to-end product backends, including CI/CD and schema migrations, and demonstrates solid engineering judgment. He has worked with enterprise companies such as IBM and Thomson Reuters and is also a community organizer for a publishing platform focused on knowledge sharing.
Antonio is a skillful Back-end Developer with profound expertise in the tech industry. He has been using Python and Django as the core stack for 6 years, and he always strives to write clear and readable code. Since starting his career as a Consultant in 2016, Antonio has had a chance to take on such roles as Machine Learning Engineer, Data Architect, and Data Scientist. His background in building Deep Learning solutions also allows him to contribute to the development and deployment of AI products. Besides this, he contributed to two scientific papers in the field of Web Scraping and Data Visualization.
Kaspars is a senior AI engineer with verified expertise in production ML systems, RAG, multi-agent architectures, computer vision, and MLOps. He has led end-to-end AI projects in manufacturing, logistics, and generative personalization, demonstrating strong architectural ownership and risk-aware decision-making. Interviewers' feedback highlights his hands-on delivery, business maturity, and nuanced engineering judgment!
Rishikesh is a senior AI engineer with 11 years of experience specializing in multi-agent systems, RAG pipelines, and production-grade LLM solutions. He has led the architecture and delivery of agentic platforms, hybrid retrieval systems, and evaluation frameworks across startup and enterprise environments. He brings advanced expertise in Python, orchestration, fine-tuning, and MLOps, along with strong communication and leadership skills. His approach consistently connects technical decisions with business impact and operational constraints.
This engineer has experience with Python, SQL, cloud services, and various data science-related ecosystem tools. He also has a strong understanding of some of the cloud-related MLOps concepts. Brian is adept at effectively managing non-technical stakeholders and communicating complex ideas clearly. Proficient in developing and deploying LLMs, ML models, and pipelines, Brian is a skilled AI engineer as well. Outside of daily work, Brian can be found practicing some sports, including muay thai!
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!
Why choose us
We're looking for the right developers, that perfectly suit your team
A four-step vetting process
Our proprietary process includes professional and personal tests, live interviews, and multiple background checks.
Price-quality match
The majority of developers are from Eastern Europe, where startups can stretch their budget to do more with less.
Miraculous 48-hour matching
Two days (or less) to find you a perfect developer for your startup's needs.
98% satisfaction rate
That's the percentage of clients who hired the very first dev they were offered from the platform.
Zero-risk dev replacement
You don't wait for direction. You jump in headfirst, racking up quick wins, calling out improvements, and pushing for architectural decisions that set clients up for scale.
Full-time contributors
You're looking for work you can sink your teeth into, and can commit 20 hours or more a week to see it through.
Case studies More case studies
Aerospace
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.
Software
We really wanted to work with high-end talent, the candidates who hold their own. The candidates we were receiving from Lemon.io straight away were high quality
Healthcare
Our back-end lead is impressed with the level of knowledge both Lemon.io engineers demonstrate.
Telecommunications
We needed extra developers to clean off all these bugs so the company could skyrocket.
Rocket hiring ride
Top-notch developers within 48 hours, hand-picked for your team.
