This is a unique opportunity to shape how LLMs become embedded in our daily operations, automating as much work as possible, increasing productivity and improving the quality of our products, decision-making, and internal processes. This role is ideal for an engineer who’s curious, pragmatic, and motivated by real-world impact, laying the groundwork for how we approach internal AI applications, with a focus on utility, trust, and constant adaptation.
Lead a remote team of 2-6 backend and frontend engineers from several nationalities on a complex distributed application. Mentor and coach team member and ensure they are engaged at work and have growth opportunities. Create a trusting, healthy and friendly environment for your team, where transparency is key and feedback can be provided in any direction respectfully and professionally. Plan and execute software projects of different sizes without micromanaging your team.
Seeking a Full Stack Engineer to join our platform engineering team. You’ll play a pivotal part in developing the next-generation human data collection infrastructure for AI/ML development, driving product strategy, and directly impacting our startup trajectory. Full-stack development from architecture and specifications to live deployments, understand the product roadmap and lead user testing sessions. An understanding of optimization, security and code cleanliness is needed.
Join our expert annotation team to create training data for the world's most advanced AI models. You'll get your foot in the door with one of the most prominent players in the AI/LLM space today. Primarily seeking JavaScript/React developers with 3+ years of experience to train large AI language models, helping cutting-edge generative AI models write better frontend code.
As a Software Engineer, you will work on Linux, cloud infrastructure, pipelines and automation, and open source software, collaborating with cloud partners to enhance Ubuntu. Your responsibilities include build system development, implementing cloud-related features within Ubuntu Server, and operating continuous delivery pipelines, automating the delivery of Ubuntu products for various workloads.
Build high-quality, clean, scalable and reusable code by enforcing best practices around software engineering architecture and processes. Collaborate with other teams to integrate AI solutions and work with the product owners to understand detailed requirements then own your code from design, implementation, test automation and delivery of high-quality product to our users. Contribute to the design and implementation of new products and features while also enhancing the existing product suite.
Join an expert annotation team to create training data for advanced AI models. Software engineers with 3+ years of experience will train large AI language models, helping generative AI models write better code. Projects involve engaging with these models as they learn to code, solving coding challenges, creating instructions, and reviewing code.
Join the Retention Engineering Group as a Senior Android Engineer, where you will use the latest technologies and architectures to build fantastic solutions. As a Snr engineer, you will work with a cross-functional team of android, backend engineers, and product managers to design, develop, and maintain M-KOPA’s Customer apps. You will implement Android applications following clean architecture principles, unidirectional data flow and jetpack compose.
Lead a team building sophisticated event-driven microservices with real-world impact as you scale up and drive digital and financial inclusion across our markets. You will mentor and lead a team of .NET backend engineers while fostering a collaborative and high-performing environment. You'll champion continuous delivery, testing, and observability as first-order concerns in development.
This is a dynamic role that requires both technical leadership and visionary direction, and will champion the advancement and application of various key services that deliver value across the company. By leading a skilled team of data and software engineers, you will unlock new possibilities in areas such as process automation, data ingestion, enrichment, log streaming, event data analysis and system-to-system integrations.