Design and operate backend systems collecting data on 400M+ creator profiles across major social platforms.
Build resilient infrastructure handling high-volume data, third-party APIs, and proxy networks at scale.
Own systems end-to-end, from architecture and deployment to monitoring and continuous improvement.
They build a large-scale creator data platform tracking 400M+ profiles across major social media. The culture is remote-first, async-oriented, and collaborative with substantial autonomy for senior engineers.
Support and develop the search infrastructure of the company, working with terabytes of medical data.
Design and implement high-performance APIs for search with low latency.
Collaborate with cross-functional teams to deliver impactful features and maintain code quality.
H1 is a healthcare technology company that provides a platform to inform doctor interactions and improve patient outcomes. They are a mission-driven organization with a focus on data and AI, fostering a collaborative and innovative culture.
Design and develop scalable search and indexing systems for an AI search engine.
Ensure operational excellence by participating in on-call rotation and maintaining system quality.
Collaborate with a global remote team to solve distributed system challenges.
Algolia is a pioneer and market leader in AI Search, empowering over 18,000 businesses to deliver blazing-fast search experiences. With $150 million in Series D funding and a valuation of $2.25 billion, the company fosters a high-trust, flexible culture and values diversity and collaboration.
Design and evolve a sophisticated media intelligence platform using Ruby on Rails and VueJS.
Collaborate with product managers, stakeholders, and engineers to turn complex requirements into scalable solutions.
Lead technical initiatives from design through deployment, ensuring code quality and security.
The company builds a sophisticated media intelligence platform with global reach. It fosters a collaborative, inclusive, and globally distributed culture focused on innovation and professional growth.
Design, build, and operate data products that transform raw data into customer-facing insights.
Develop large-scale ETL/ELT pipelines using Apache Spark and PySpark, with workflow orchestration via Airflow or AWS Step Functions.
Work across AWS and GCP infrastructure, incorporating AI-assisted search and LLM-powered features in production.
The partner company builds data-driven intelligence products from unstructured social and public data. It operates with a remote-first, async-friendly culture that emphasizes high autonomy and low bureaucracy.
Guide architectural decisions across products, reviewing solutions from internal teams and vendors.
Establish shared engineering standards and modernise legacy systems for reliability and cost-effectiveness.
Define guardrails for production LLM systems and collaborate with teams on Kubernetes and cloud infrastructure.
INFUSE is a technology company that develops software products, including AI and LLM-based solutions, across a large engineering landscape. Its software department spans 500+ repositories and fosters a remote-first culture with access to cutting-edge AI tools and human-centric values.
Build and scale massive distributed compute and storage systems for frontier model training.
Architect multi-cluster orchestration layers to optimize workload placement across diverse hardware and regions.
Design future-proof storage and metadata systems to handle exabyte-scale growth.
Mistral provides full-stack AI solutions from frontier models to developer tools, applications, and compute. We are a dynamic, collaborative team passionate about AI, with a diverse workforce distributed across Europe, North America, Asia, and the Middle East.
Take deep ownership of systems and product areas, becoming the go-to technical expert for what you own.
Architect, build, and maintain highly available, scalable REST APIs and backend services across distributed systems.
Build agentically with AI coding tools, staying at the forefront of emerging AI tooling and practices.
Postscript is an AI messaging platform for Shopify brands, helping e-commerce marketers drive revenue through SMS marketing and AI features. Backed by Greylock and Y Combinator, the company has been fully remote since 2018 and serves 20,000+ Shopify brands with a culture of ownership and AI-first development.
Lead and mentor diverse software engineering teams across the Americas and EMEA, fostering innovation, collaboration, and continuous improvement.
Drive software delivery transformation through agentic development, AI-assisted engineering tools, and modern delivery models.
Oversee architecture and hands-on technical leadership for platform and AI services across Python, TypeScript, AWS, and LLM frameworks.
This partner company builds financial technology products, platform services, and AI-driven solutions for global businesses. It operates as a remote-first organization with a high-trust culture and a focus on engineering innovation and collaboration across EMEA and APAC.
Build and evolve AI-powered products with end-to-end TypeScript/React and Golang development.
Design and maintain robust backend systems including APIs, distributed systems, and cloud infrastructure on AWS.
Contribute to AI-first engineering practices, working autonomously in a remote European team.
Our partner is a technology company that builds AI-powered products integrated into partner platforms. The team is autonomous and collaborative, with a focus on reliability and correctness.
Develop deep understanding of customer problems and map them to Cohere solutions as a trusted technical advisor.
Lead design and deployment of customer pilots, owning the technical narrative from discovery to business case.
Collaborate with Product and Engineering teams and partners to scale solutions and gather customer feedback.
Cohere is a leading security-first enterprise AI company building cutting-edge foundation AI models and products for real-world business problems. It is a global team of researchers, engineers, and designers headquartered in Toronto with offices worldwide, committed to driving AI adoption.
Own and continuously improve the systems for collecting job opportunities from thousands of companies.
Design scalable data architectures and operate reliable ETL/ELT pipelines.
Collaborate with product and AI/ML teams to enhance matching quality and data foundations.
Jobgether is building a job search platform for experienced professionals in the global remote job market. They aggregate and enrich job data from around the world. We are a fully remote, international team focused on accountability and outcomes.
Design and implement scalable data ingestion pipelines for processing high volumes of unstructured documents.
Integrate and optimize OCR technologies to maximize text extraction accuracy and document understanding.
Build automated workflows for document parsing, cleaning, and enrichment to support AI applications.
Inetum is a European leader in digital services, providing digital transformation solutions to businesses and public sector organizations. With 26,000 consultants and a presence in 19 countries, the group generated €2.2 billion in revenue in 2025.
Design and develop large-scale platforms for LLM training and AI workloads.
Tackle distributed-systems challenges including intelligent job scheduling and resource optimization.
Collaborate with international teams to build production-ready AI infrastructure.
This role is with a partner company, an AI-focused R&D team building infrastructure for large language models. They are a fast-moving, highly technical team with a collaborative and innovative culture.
Act as technical anchor for external engineering partner contributing to OpenCTI.
Guide partner engineers on architecture, coding standards, and quality.
Contribute hands-on to critical areas of the codebase and facilitate technical sessions.
They develop and maintain an open-source cybersecurity platform. The company operates in a fully remote, async-first environment with a collaborative and global distributed team.
Build and contribute to RAG system components under senior guidance, with growing autonomy.
Write production code across the stack and integrate AI components into backend services and RESTful APIs.
Support deployment to AWS with CI/CD, and contribute to evaluation, documentation, and architectural decisions.
Provectus is an AWS Premier Partner and Anthropic Strategic Partner that helps enterprises implement AI solutions using Claude and agentic systems. They have a global presence with offices in North America, LATAM, and EMEA, and maintain a remote-friendly culture with a growing team of AI engineers.
Build and operate Python/Django services for repairs, payments, messaging, notifications, and fraud prevention.
Work in cross-functional product teams using AI-assisted, spec-driven development from design through delivery.
Ensure reliability and data integrity through automated testing, observability, security, and incident response.
Plentific is a property technology platform for housing providers, local authorities, and contractors in the UK and Germany. We are a growing London-headquartered team working across Europe to expand the platform and integrate AI.
Build APIs, integrations, and infrastructure for a modern hospitality platform using Python.
Design resilient event-driven workflows and ensure high reliability, scalability, and observability.
Collaborate with technical and non-technical stakeholders in a globally distributed remote team.
The company operates a modern hospitality platform that connects with a broad ecosystem of technology partners. It fosters a pragmatic, globally distributed engineering environment with an inclusive and collaborative culture.
Develop and maintain machine-learning models across the full data science lifecycle.
Collaborate with ML engineers to deploy scalable supervised and unsupervised learning algorithms.
Design and run A/B tests to validate hypotheses and measure business impact.
The company operates in programmatic advertising, building machine-learning models that process terabytes of data and support billions of real-time advertising requests worldwide. It is a diverse, globally distributed team that values simplicity, collaboration, and practical impact.
Build integrations that unlock Luna’s next capabilities
Design infrastructure that scales to hundreds of thousands of individual practice servers
Engineer reliability into the system: data consistency, idempotency, retries, error handling, observability
Praxipal builds an AI-powered healthcare admin workforce to address the global shortage of medical staff. The company is backed by one of Europe's leading investors and is one of the fastest growing healthtech startups in Germany, with a team that has previously worked at top tech companies.