Contribute to the development of the Everywhere Inference platform, a Kubernetes-based solution.
Design and implement APIs and developer tools to simplify deployment, management, and monitoring of AI applications.
Optimize serverless container workflows for AI workloads, ensuring performance, scalability, and seamless autoscaling.
Gcore provides infrastructure and software solutions for AI, cloud, network, and security. They have 550+ professionals globally and power everything from real-time communication and streaming to enterprise AI and secure web applications.
Define, drive, design, and build/ship end-to-end solutions that solve real customer problems.
Contribute to the end-to-end AI/ML software development lifecycle, ensuring reproducible research.
Drive architecture, design, and delivery of advanced ML systems in the Product R&D team.
Kinaxis is a global leader in modern supply chain orchestration. Known for its AI-infused platform and transparency across end-to-end supply chains, Kinaxis helps customers make faster, better decisions. The company has over 2000 employees worldwide and is recognized with Top Employer awards.
Shaping the Python language ecosystem with a strong product and platform mindset.
Architecting, building and delivering high-impact solutions that uplift the Python developer experience.
Advocating for Python engineering best practices across the organization.
Canva is a design platform that empowers users to create professional-quality graphics. They offer an inclusive culture with employees across multiple locations.
Understand customer's AI strategy and business critical challenges, finding the best problem-solution fit.
Support customers in achieving real ROI out of AI deployments at scale enabling a fundamental shift in business operations.
Execute business-critical Proof-of-Value projects, including architecture and deliver secure, scalable systems.
Celonis is the global leader in Process Intelligence and the pioneer of Process Mining technology. As one of the world’s fastest-growing enterprise SaaS companies, they are changemakers pushing the boundaries of what’s possible and invest heavily in advanced AI capabilities.
Design, build, and maintain scalable backend services and APIs that power Chattermill’s core analytics platform.
Architect reliable, maintainable distributed systems and contribute to the evolution of backend service design and infrastructure.
Own end-to-end delivery of backend engineering workstreams, from technical scoping and architecture through to implementation, testing, observability, and production support.
Chattermill helps large successful brands like Uber, Amazon, and Wise put their customers at the centre of everything they do. Using best-in-class tech in a fast-evolving AI space, their Customer Experience Intelligence platform continuously analyses feedback to help clients identify what to do next.
Design and deploy GPU cluster architectures using tools like Ansible, Terraform, Kubernetes, and Slurm.
Lead technical deep-dives, workshops, and present solutions to stakeholders, translating complex concepts.
Automate provisioning and monitoring with Infrastructure as Code, and produce documentation and training materials.
Gcore is a global provider of infrastructure and software solutions for AI, cloud, network, and security, powering digital experiences worldwide. The company collaborates with leading technology partners and employs over 550 professionals building foundational technologies.
Design, build, and own backend systems that transform raw enterprise data into structured representations.
Develop and maintain scalable data processing pipelines, semantic storage layers, and versioning systems.
Own features end-to-end, from data modeling and backend logic to API design and integration layers.
Pragmatike is recruiting on behalf of a fast-growing, AI-first enterprise software company building a next-generation semantic intelligence layer for large-scale business data. They value transparency, ownership, and long-term impact.
Define and evolve the architecture and roadmap for enterprise‑scale Data and AI platforms.
Design and build multi‑tenant, multi‑region, highly available AI platforms with governance.
Lead capacity planning and cost optimization strategies for GPU and CPU workloads.
NEORIS accelerates growth in Ibero‑America, combining global engineering with regional expertise. With over 60,000 professionals across 55+ countries, they offer technical specialization career paths and value responsibility, collaboration, creativity, and commitment.
Lead the design and development of core platform features using Python and an API-first approach.
Build scalable, reliable backend services that power our applications, integrating seamlessly with a modern cloud-based architecture.
Collaborate with design and product teams to ensure that what we’re building is scalable, maintainable, and secure.
Agiloft is a global leader in data-first contract lifecycle management (CLM) software, helping organizations manage the end-to-end contract process. The company has a vibrant culture, supports multiple Employee Resource Groups (ERGs), and values work/life balance.
Ship fast and well: Deliver a new AI agent every 6 weeks, owning the full backend and AI logic from scoping to deployment — balancing speed with reliability and minimal technical debt.
Build for the long term: Architect pragmatic LLM guardrails and future-proof components that hold up in a regulated banking environment and don't need rewriting three months later.
Leverage AI daily: Use AI coding tools (Cursor, Claude Code, Copilot…) for ~70% of your coding to review, refine, and ship features faster.
Qonto is creating the freedom for SMEs to succeed by delivering Europe's leading finance workspace with banking at its core, augmented by financial tools. Founded in 2017, Qonto has grown to 1,600+ Qontoers serving over 600,000+ customers across 8 European countries and has been profitable since 2023.
Define end-to-end architecture for AI/ML and Gen AI systems.
Serve as a strategic advisor to clients, leading solution design discussions.
Architect scalable solutions using cloud-native AI tools.
3Pillar Global provides a flexible work environment with a remote-first approach, offering opportunities for global teamwork and leveraging diverse resources. They focus on well-being, career growth, and diversity.
Design end-to-end AI integration architectures connecting LLM APIs, vector databases, and inference systems to existing backend infrastructure.
Build reusable ML infrastructure components like feature pipelines, model serving layers, and evaluation frameworks that multiple portfolio companies standardize on.
Establish AI system integration best practices and governance patterns that become repeatable playbooks across the holding company.
Emergence is a thematic holding company backed by the Pritzker Organization focused exclusively on acquiring and scaling category-defining software businesses. They invest in focused portfolios, specialized operating groups with deep domain expertise and proven playbooks.
Design, implement, and deploy ML/AI models end-to-end, from concept through production, including data pipelines, training workflows, and optimization.
Maintain and evolve AI systems in production, monitoring for drift, debugging issues, and driving ongoing improvements to reliability and scalability.
Partner closely with product, engineering, and data teams to align AI work with broader product and business goals.
Robots & Pencils is an applied AI engineering firm that designs and ships AI co-workers integrating into operations and delivering results for clients. Founded in 2009, they have delivery centers in Canada, the United States, Eastern Europe, and Latin America, with teams averaging 15+ years of experience.
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.
Mentor junior engineers, promote best practices, and advocate for a high standard of code quality and testing.
Sword Health is shifting healthcare from human-first to AI-first through its AI Care platform. They aim to make world-class healthcare available anytime, anywhere while significantly reducing costs. Sword Health has over 1,000 enterprise clients.
Design, deploy, and maintain scalable ML infrastructure supporting model training, batch inference, and real-time inference workloads.
National Debt Relief was founded in 2009 with the goal of helping consumers deal with overwhelming debt. They are one of the most-trusted and best-rated consumer debt relief providers in the United States, having helped over 450,000 people settle over $10 billion of debt.
Maintain, improve, and extend an AI platform already running in production.
Handle a mix of backend development, data pipelines, DevOps, and infrastructure work.
Translate business and product requirements into technical decisions independently.
Provectus is an AI consultancy and solutions provider. We help businesses adopt AI technologies, offering development and integration services. While the job posting doesn't mention company size information, they seem to foster a flexible, autonomous, and tech-forward culture.
Design, implement, and maintain reliable, scalable, and secure infrastructure, applications, and tooling, with a focus on our ML/AI pipelines and workloads
Write clean, maintainable code, and perform peer code-reviews
Write clear and concise documentation and engage in cross-team communication and knowledge sharing
Bright Machines is a next-generation, AI-enabled manufacturer focused on data center infrastructure assembly operations. The company utilizes AI-based robotics and software to assemble AI infrastructure hardware products for hyperscalers and leading OEMs, employing under 500 employees, with a culture rooted in innovation and expertise.
Design and build systems, manage scalable ML pipelines using Vertex AI Pipelines for training, evaluation and deployment to support ranking, retrieval, and recommendation personalization use cases
Develop and maintain data pipelines that support feature generation, model training, and analytics workflows. Own vector generation via Milvus, storage, and retrieval workflows
Implement model serving solutions using KServe and build APIs using FastAPI for low latency inference Build observability and monitoring for models and pipelines.
People Inc. is America’s largest digital and print publisher. Our 40+ iconic and fast-growing brands harness the best intent-driven content, the fastest sites, and the fewest ads to help nearly 200 million people every month.
Build our core Python/Rust platform: request routing, AI workload orchestration, scheduling, GPU autoscaling, large scale file storage, queueing, etc
Produce forward designs for platform evolution as we scale to 100x current traffic and need to provide low latency across the world
Leverage AI to an extreme level to automate the mundane parts of building complex but reliable systems
Fal is building the infrastructure, tools, and model access to move from AI idea to production. They aim to be the unified platform where high-performance inference, orchestration, and observability come together to unlock new categories of AI-native products.
Play a key role in the company’s AI strategy and make a meaningful impact across the whole platform.
Lead development efforts, mentor engineers and product managers, and make key architectural decisions involving AI.
Architect end-to-end AI systems and use data-driven solutions to address complex cybersecurity problems.
AppOmni prevents SaaS data breaches by delivering end-to-end SaaS security. Recognized as a Frost Radar™ 2025 Leader and Great Place To Work ®, AppOmni continues to set the standard for innovation and customer value in SaaS security.