Architect, design, and build backend systems that transform our internal AI technology into a scalable, market-ready product.
Design and optimize APIs, database schemas, and data processing workflows that seamlessly integrate with our AI/ML pipelines.
Collaborate with the Product, Data, and Engineering teams to define technical requirements and deliver features that enhance our users’ experience and overall system performance.
Design and build scalable backend systems for clinical trial recruitment platform.
Drive technical decisions and set technical direction for areas of ownership.
Maintain healthcare compliance standards (HIPAA) and implement security best practices across systems.
Trial Library is a mission-driven health technology company dedicated to improving health equity in cancer care by expanding access to precision medicine.
Design and implement robust backend services using Python (Flask, FastAPI, or similar)
Build and maintain Python-based GraphQL servers
Design scalable data models using SQL databases and SQLAlchemy
EX Squared LATAM partners with innovative companies to build data-driven platforms that empower smarter decision-making. They value technical excellence, innovation, and ownership and are inclusive and people-first.
Seeking a Backend Engineer with 4+ years of experience to join the Noa Notes team. Focus on scalability, clean architecture, and the ability to ship iteratively while learning fast. Design and develop backend systems with a focus on scalability, reliability, and observability.
Docplanner is creating a healthcare ecosystem that seamlessly connects patients with doctors while integrating smart tools to provide quicker, more precise diagnoses and treatments.
Contribute to designing, building, evaluating, shipping, and improving Sword’s products by hands-on AI/ML development.
Develop and maintain data processing pipelines for getting the data required to build and evaluate models.
Work alongside the Product, Data & Engineering Teams to define and implement AI/ML-powered features for internal and external users.
Sword Health is shifting healthcare from human-first to AI-first through its AI Care platform, making world-class healthcare available anytime, anywhere.
Design, build, and optimize high-performance systems in Python supporting AI data pipelines and evaluation workflows
Develop full-stack tooling and backend services for large-scale data annotation , validation, and quality control
Improve reliability, performance, and safety across existing Python codebases
Alignerr connects top technical experts with leading AI labs to build, evaluate, and improve next-generation models. They work on real production systems and high-impact research workflows across data, tooling, and infrastructure.
Design, develop, and maintain backend services, APIs, and data pipelines that power Knock's customer-facing and internal applications.
Architect and build scalable backend services using Node.js and TypeScript, ensuring they integrate seamlessly with our frontend experiences.
Contribute to AI-powered features and initiatives, integrating AI services to enhance our risk analysis and decision-making capabilities.
Knock is redefining the home buying and selling experience. They are a passionate team of industry experts who knew there had to be a better, simpler way for people to navigate the journey between homes and have been honored as one of Inc.’s Best Workplaces six times in the past seven years.
Architect, develop, and maintain scalable backend services for voice and chat AI applications. Lead the migration from PHP/HTTP to a real-time backend framework. Integrate 3rd party APIs such as Twilio (voice), WhatsApp, ElevenLabs, OpenAI and others.
Tuotempo transforms healthcare experiences through intelligent digital solutions, powering some of Europe and Latin America's leading healthcare institutions.
Architecturer, développer et maintenir notre plateforme et nos pipelines automatisés
Collaborer avec l'équipe sur les spécifications, tests et meilleures pratiques techniques
Safran.AI (formerly Preligens) is a subsidiary of Safran Electronics & Defense that offers artificial intelligence solutions to analyze high-resolution satellite images, FMV video streams, and acoustic signals. Since its integration with Safran in September 2024, Safran.AI also contributes to the group's transformation by applying AI solutions to Industry 4.0 areas.
Lead hands-on development of robust, scalable, and secure RESTful and event-driven APIs using FastAPI and OpenAPI 3.0+.
Own backend architecture and technical execution, serving as a primary contributor to the codebase.
Establish and enforce best practices for API design, versioning, documentation, and maintainability.
Truelogic is a leading provider of nearshore staff augmentation services headquartered in New York. Their team of 600+ highly skilled tech professionals, based in Latin America, drives digital disruption by partnering with U.S. companies on their most impactful projects.
Design, develop, and maintain scalable backend services and APIs, ensuring high performance, security, and reliability.
Build and optimize data pipelines to ingest, store, and serve large-scale datasets, including video and ML training data.
Own and evolve the foundational data model that powers the entire Frontera platform.
Frontera is reimagining how children with autism and other behavioral health needs get the care they deserve. They bring together clinicians, technologists, and autism specialists to build cutting-edge AI tools that help care teams, expanding access to high-quality services for families everywhere.
Design and build API endpoints for client integrations.
Improve database and query performance.
Integrate with a wide range of third-party services.
Kalepa's state-of-the-art AI Copilot platform empowers underwriters to make smarter, faster, and more accurate decisions in the commercial insurance industry.
Design, develop, and maintain scalable backend services and APIs, ensuring high performance, security, and reliability.
Build and optimize data pipelines to ingest, store, and serve large-scale datasets, including video and ML training data.
Balance rapid development of MVPs and POCs for user research with building robust, long-term backend foundations.
Frontera is reimagining how children with autism and other behavioral health needs get the care they deserve. They bring together clinicians, technologists, and autism specialists to build AI tools that help care teams work smarter and spend more time with the children and families who need them most.
Build the foundations that power our AI Agents at scale, designing systems for reliability, performance, and change.
Use modern AI tools in your daily work to explore designs, scaffold code, generate tests, and document decisions.
Expected to have solid engineering skills - clear contracts, readable code, strong test suites, observability, and maintainable architectures.
At Zowie, we’re revolutionizing how businesses interact with their customers by creating a future where AI Agents handle 100% of customer interactions.
Design and build backend services that support event ingestion, identity stitching, profile creation, and downstream activation.
Develop SDKs, packages, and reusable components to support instrumentation, governance, and developer experience.
Build internal tools and fullstack workflow surfaces that help teams understand, use, and trust the data flowing through their systems.
Fullscript is an industry-leading health technology company on a mission to help people get better by providing a platform for practitioners to access products.
Design, build, and optimize high-performance systems in Python supporting AI data pipelines and evaluation workflows
Develop full-stack tooling and backend services for large-scale data annotation , validation, and quality control
Improve reliability, performance, and safety across existing Python codebases
Alignerr connects top technical experts with leading AI labs to build, evaluate, and improve next-generation models. They work on real production systems and high-impact research workflows across data, tooling, and infrastructure.
Writing effective and scalable Python codes. Designing and implementing robust applications. Debugging applications to ensure low-latency and high-availability.