Design and implement RESTful APIs with OpenAPI specs and SQLAlchemy for the first AI-native hardware development platform.
Develop ingestion pipelines using Celery and Redis to extract structured engineering artifacts from unstructured inputs.
Build and extend agentic AI workflows using LangChain and LangGraph for proactive coordination and risk detection.
Re:Build operates an advanced, end-to-end manufacturing platform partnering with industrial companies to take products from concept to production. They are a growing company focused on revitalizing America's manufacturing base and creating meaningful jobs across the country.
Architect and implement production-grade integrations and distributed data systems for enterprise customers using Python, SQL, and modern API development.
Transform legacy ETL/ELT workflows into modern, autonomous data pipelines across AWS, Azure, or GCP and Kubernetes.
Integrate AI APIs like OpenAI and Anthropic, and deliver solutions from kickoff to production within an 8-12 week Accelerator window.
Matillion is the company behind Maia, an AI Data Automation platform used by Cisco, DocuSign, and Slack. They started in Manchester and now have global teams across the UK, US, and India, with a driven, curious, and energetic culture.
Take ownership of a large-scale PostgreSQL/Supabase database with 100 million records, ensuring performance and reliability.
Optimize SQL queries, indexes, and storage structures to improve responsiveness and scalability.
Design and evolve database architecture while developing APIs and automations for the product ecosystem.
They are a technology company that manages a large-scale PostgreSQL database infrastructure. They operate a fully remote team and emphasize technical ownership and scalability.
Design, build, and ship reliable software for AI-powered scientific workflows.
Build scalable backend services, APIs, data pipelines, and integrations with laboratory instruments and enterprise systems.
Own projects end to end from technical design through implementation, deployment, monitoring, and iteration with customers.
Expert Intelligence is building the AI decision layer for analytical laboratories. We are a growing startup with a team of engineers and scientists, working on hard problems at the intersection of AI and science.
Build core data platform capabilities, developing services and APIs for data access, query execution, ingestion, and synchronization.
Make integrations reusable by building connector frameworks that support different systems without bespoke implementations.
Own execution reliability by building orchestration, retries, checkpointing, and observability for predictable workload recovery.
Tessera Labs is redefining how enterprises adopt and operationalize AI by building multi-agent systems that automate complex business workflows across platforms like SAP and Salesforce. Backed by top venture capital firms and built by leaders from Meta AI and Google Research, they move fast and operate with extreme ownership.
Build scalable, high-load systems in Python and work with big data processing 200–400M+ records per day.
Design and develop integrations with external channels behind a unified data model and API.
Ensure data quality and consistency across channels through validation, reconciliation, and monitoring.
SplitMetrics is a global software company providing a growth engine for mobile-first businesses through its ecosystem of products and services, including Apple Ads optimization and A/B testing. With over 11 years of experience and a remote-first culture, the company collaborates across 20+ countries and values transparency, speed, and continuous learning.
Design, develop, and maintain backend services and RESTful APIs using Python, Django, and DRF.
Implement algorithmic business logic, data modeling, and database schemas with PostgreSQL.
Collaborate with a distributed team to ship reliable, high-quality software in a fully remote environment.
The company is a fast-moving, product-focused organization building AI- and algorithm-driven backend systems. It fosters a distributed, multicultural engineering environment with significant autonomy and a pragmatic, iterative culture.
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.
Develop high-performance, scalable web and task servers using Python and frameworks such as Django, Flask, or FastAPI.
Integrate AI and machine learning capabilities, including LLMs and numerical analysis, into web and task-processing services.
Design REST APIs, work with microservices and cloud platforms, and mentor junior engineers while owning technical architecture.
The hiring company specializes in building scalable, high-performance backend systems and integrating AI technologies into production. While team size is not disclosed, the culture emphasizes collaboration, mentorship, and continuous professional growth.
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.
Design, build, and own critical product features for high-scale backend systems serving millions of users.
Take full ownership from problem discovery through production rollout and long-term maintenance.
Collaborate closely with Product and engineering teams in a remote-first, autonomous environment.
A venture-backed technology company that builds scalable backend systems used by thousands of developers and hundreds of millions of end users. It is a remote-first, fast-growing company with a collaborative culture focused on engineering excellence.
Design and scale backend data infrastructure for PostgreSQL, Kafka, and GraphQL APIs.
Lead complex projects, own data pipelines, and collaborate with cross-functional teams.
Mentor engineers, draft RFCs, and drive architectural decisions for the Datastore.
Beacon Biosignals is transforming precision medicine for the brain, from clinical development to clinical care, offering at-home EEG and diagnostics platforms. They are a growing team with a diverse, collaborative culture, emphasizing empathy and impact.
Designing and building scalable data pipelines that power AI models, machine learning workflows, and intelligent product capabilities.
Owning the reliability, performance, and operational excellence of production data platforms.
Developing ETL/ELT solutions using Python, SQL, AWS, and modern cloud-based data technologies.
Ideagen provides software solutions that improve safety and quality across aviation, food, and healthcare industries. With offices globally, the company values work-life balance and fosters a culture of innovation, leveraging AI to work smarter.
Build and ship features across the Champion platform repositories, improving developer experience and maintaining agent infrastructure.
Support Applied AI engineers in building and deploying Champions correctly, reviewing agent implementations and contributing to internal guides.
Design and build Champion agents for business unit use-cases, writing system prompts and configuring prompt rollout.
Redzone is the #1 Connected Workforce Solution for manufacturers, improving efficiency in plants and enabling front-line workers. The company combines great leadership, years of manufacturing experience, and an incredible technology team to create great products.
Design and build new features for the Django backend that powers the consumer dashboard and B2B platform.
Improve performance and reliability of Celery and RabbitMQ pipelines and integrate third-party services like Stripe and WorkOS SSO.
Own features end-to-end, including production debugging and code review with a small backend team.
Optery helps people get their personal data off broker sites. It's a fully remote, small startup headquartered in the San Francisco Bay Area, where engineers work directly with the founders.
Build and maintain data ingestion pipelines from enterprise systems and APIs.
Develop SQL and Python solutions for data transformation and curation.
Partner with analytics and engineering teams to deliver governed data products.
AHEAD builds and operates data capabilities to help teams access trusted information. The company fosters a product-oriented engineering culture with a focus on collaboration and AI-assisted development.
Architect, design, and maintain core services supporting CRM and Marketing platforms.
Build advanced data models and write high-performance SQL queries for scalability.
Collaborate with cross-functional teams and lead projects to improve engineering culture.
Rechat is building the next generation of enterprise real estate technology, unifying data, marketing, and transaction workflows into one system. The company is product-driven with a modern stack and a strong engineering culture.
Design and build backend services that integrate AI capabilities into customer-facing product features.
Develop performant, scalable APIs and backend services that connect AI outputs with SaaS functionality and customer workflows.
Collaborate with product and design teams to create intuitive and valuable AI-driven user experiences.
Jobgether is an AI-powered job matching platform that connects candidates with hiring companies. They use AI tools in the hiring process to review applications and analyze resumes, operating with a diverse international team spanning more than 40 countries.
Design and maintain data pipelines that ingest and serve data across Techstars systems.
Own Kubernetes-based infrastructure, deployment tooling, and cluster health.
Maintain PostgreSQL database layer and support Salesforce data flows.
Techstars is a global investment firm that backs ambitious founders with capital, mentorship, and the connections they need to grow. The company has operated since 2006 and offers a collaborative, inclusive environment.
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.