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As a Backend Engineer at Shelf, youll architect and build the distributed systems that make enterprise AI actually work. While others are chasing AI hype, were solving the unglamorous but critical problem that determines whether AI succeeds or fails: data quality at scale.
You wont just write code — youll design architectures that handle petabytes of unstructured data, provision and optimize databases across multiple cloud regions, and build services that process millions of documents daily. Every architectural decision you make ripples through to the accuracy of AI systems at companies like Glovo, Lufthansa, and Nespresso.
This is systems engineering at its most demanding. Youll tackle challenges like building multi-tenant distributed systems with strict data isolation, implementing real-time data quality scoring at scale, and creating self-healing pipelines that maintain 99.9% uptime. Your services will integrate with everything from enterprise systems to cutting-edge LLMs, requiring both deep technical knowledge and pragmatic engineering judgment.
We obsess over backend quality because were building the quality layer for AI itself. When your code elegantly handles edge cases, gracefully degrades under load, and self-monitors for anomalies, youre not just meeting engineering standards - youre directly preventing AI hallucinations and ensuring accurate answers for millions of end users.
Were a product company that ships fast without compromising on lasting quality. Youll work alongside proactive, ever-learning engineers in an environment where AI isnt just what we build — its how we build.
The best engineers we know are drawn to problems that matter. If youre excited by the challenge of building the infrastructure that makes the AI revolution actually deliver on its promises, this role offers the rare combination of technical depth, meaningful impact, and the prestige of solving problems that the industry hasnt figured out yet.
There is no AI Strategy without a Data Strategy. Getting GenAI to work is mission-critical for most companies, but 90% of AI projects havent deployed. Why? Poor data quality - it is the #1 obstacle companies have in getting GenAI projects into production.
Weve helped some of the best brands like Glovo, Lufthansa, Herbalife, and Nespresso solve their data issues and deploy their AI strategy with Day 1 ROI.
Simply put, Shelf unlocks AI readiness. We provide the core infrastructure that enables GenAI to be deployed at scale. We help companies deliver more accurate GenAI answers by eliminating bad data in documents and files before they go into an LLM and create bad answers.
Shelf is partnered with Microsoft, Salesforce, Snowflake, Databricks, OpenAI and other big tech players who are bringing GenAI to the enterprise.
Our mission is to empower humanity with better answers everywhere.
Nice to have:
As a Backend Engineer at Shelf, youll architect and build the distributed systems that make enterprise AI actually work. While others are chasing AI hype, were solving the unglamorous but critical problem that determines whether AI succeeds or fails: data quality at scale.
You wont just write code — youll design architectures that handle petabytes of unstructured data, provision and optimize databases across multiple cloud regions, and build services that process millions of documents daily. Every architectural decision you make ripples through to the accuracy of AI systems at companies like Glovo, Lufthansa, and Nespresso.
This is systems engineering at its most demanding. Youll tackle challenges like building multi-tenant distributed systems with strict data isolation, implementing real-time data quality scoring at scale, and creating self-healing pipelines that maintain 99.9% uptime. Your services will integrate with everything from enterprise systems to cutting-edge LLMs, requiring both deep technical knowledge and pragmatic engineering judgment.
We obsess over backend quality because were building the quality layer for AI itself. When your code elegantly handles edge cases, gracefully degrades under load, and self-monitors for anomalies, youre not just meeting engineering standards - youre directly preventing AI hallucinations and ensuring accurate answers for millions of end users.
Were a product company that ships fast without compromising on lasting quality. Youll work alongside proactive, ever-learning engineers in an environment where AI isnt just what we build — its how we build.
The best engineers we know are drawn to problems that matter. If youre excited by the challenge of building the infrastructure that makes the AI revolution actually deliver on its promises, this role offers the rare combination of technical depth, meaningful impact, and the prestige of solving problems that the industry hasnt figured out yet.
There is no AI Strategy without a Data Strategy. Getting GenAI to work is mission-critical for most companies, but 90% of AI projects havent deployed. Why? Poor data quality - it is the #1 obstacle companies have in getting GenAI projects into production.
Weve helped some of the best brands like Glovo, Lufthansa, Herbalife, and Nespresso solve their data issues and deploy their AI strategy with Day 1 ROI.
Simply put, Shelf unlocks AI readiness. We provide the core infrastructure that enables GenAI to be deployed at scale. We help companies deliver more accurate GenAI answers by eliminating bad data in documents and files before they go into an LLM and create bad answers.
Shelf is partnered with Microsoft, Salesforce, Snowflake, Databricks, OpenAI and other big tech players who are bringing GenAI to the enterprise.
Our mission is to empower humanity with better answers everywhere.