Design and run Kubernetes environments optimized for AI inference, retrieval, experimentation, and agent execution in secure or isolated settings.
Deploy and operate open-source or open-weight model stacks, model gateways, vector databases, and supporting platform components.
Build reproducible platform automation using Infrastructure as Code and GitOps approaches for stable, auditable delivery.
Deutsche Telekom IT Solutions is a subsidiary of Deutsche Telekom Group, providing IT and telecommunications services. It has over 5300 employees and has been recognized as Hungary's most attractive employer and most ethical multinational company.
Design, build, and maintain platform infrastructure using IaC principles with tools like Terraform.
Develop memory services, vector storage patterns, and semantic search capabilities.
Operate a Kubernetes-based platform for the Data & AI department, enabling deployment and scaling via GitOps.
Redcare Pharmacy is Europe's No.1 e-pharmacy, striving to improve global health through innovation and collaboration. The company fosters a healthy, inclusive work environment where employees feel valued and inspired.
Build and operate production-grade model serving infrastructure using vLLM, TGI, or Triton frameworks.
Design and implement auto-scaling, multi-model architectures, and intelligent request routing for ML inference.
Optimize GPU utilization, memory efficiency, and observability to ensure low-latency, cost-effective systems.
They are a distributed cloud infrastructure startup building AI-native cloud services with GPU-powered compute. The company is well-funded, fast-scaling, and operates in a remote-first environment with a focus on sustainability and decentralization.
Build, implement, and deploy agentic platforms within client environments, focusing on scalable AI-driven solutions.
Design and build agentic platforms using Python and modern AI frameworks like LangGraph, CrewAI, and AutoGen.
Integrate agentic platforms with client systems, including APIs, data platforms, cloud services, and enterprise applications.
Nearform is an independent team of data & AI experts, engineers, and designers who build intelligent digital solutions and capability at pace. Today, our team of 500 experts in 20+ countries is trusted by leading enterprises, including Lululemon, Puma, Sun Life, Starbucks, Travelex, Virgin Media 02, and Walmart.
Lead and develop a high-performing team of MLOps engineers, fostering technical excellence and collaboration.
Define and execute the MLOps roadmap, aligning infrastructure initiatives with research, engineering, and product goals.
Design and maintain scalable ML infrastructure including automated training pipelines, CI/CD, and model serving platforms.
Our partner is a company focused on cutting-edge machine learning infrastructure for large-scale AI systems. They foster an inclusive, mission-driven culture with international collaboration and value innovation, diversity, and continuous learning.
Collaborate with data scientists and software engineers to build scalable data pipelines and ML deployment systems.
Troubleshoot issues across the ML infrastructure stack, from Linux and Docker to Kubernetes and model serving.
Drive high engineering standards through code reviews, testing, and CI/CD enhancements.
Quillbot helps students and professionals strengthen their writing with AI-powered tools. We serve over 56 million users globally and foster a collaborative, virtual-first culture.
Productize deployment, security, and scaling of Applied AI solutions with automation and security guardrails.
Mistral provides full-stack AI solutions from frontier models to developer tools, applications, and compute, partnering with enterprises across high-stakes industries. It is a dynamic, collaborative team with a diverse workforce distributed globally, known for being creative, low-ego, and team-spirited.
Build and maintain infrastructure platforms for over 200 backend services running on Kubernetes clusters with 40,000+ cores.
Lead and mentor other engineers, own complex infrastructure failures, and participate in a shared on-call rotation.
Drive cloud cost efficiency, estimate schedules, and use AI tools as a first-class collaborator in daily workflows.
Life360's mission is to keep people close to the ones they love through location sharing, safe driver reports, and crash detection. The company serves approximately 97.8 million monthly active users across more than 180 countries and has more than 500 remote-first employees.
Collaborate with data scientists and engineers to build scalable ML pipelines, troubleshoot infrastructure issues from Linux to Kubernetes, and optimize model performance.
Drive high engineering standards, design on-premises MLOps solutions, and maintain tools for deployment and monitoring.
Refine CI/CD workflows, incorporate ML model training and evaluation into testing, and ensure seamless handover between research and production.
Learneo is a platform of builder-driven businesses, including Course Hero, CliffsNotes, LitCharts, Quillbot, Symbolab, and Scribbr, focused on supercharging productivity and learning. The company supports high-growth businesses with centralized corporate operations and has a virtual-first culture with employees across multiple countries.
Design, build, and maintain foundational AI platform components including model gateways, vector databases, and LLM evaluation frameworks.
Develop secure platform architectures with integrated authentication, authorization, and access control mechanisms.
Build and enhance observability solutions for AI workloads and partner with teams to integrate AI infrastructure with agent frameworks.
Jobgether is a platform that uses AI-powered matching to connect candidates with job opportunities. It processes applications and shares shortlists with hiring companies, operating as an intermediary in the recruitment process.
Build and scale massive distributed compute and storage systems for AI training.
Architect multi-cluster orchestration and optimize workload placement across global regions.
Design future-proof storage formats and implement metadata systems for exabyte-scale growth.
Mistral provides full-stack AI solutions, from frontier models to developer tools. They are a dynamic, collaborative team with a diverse workforce, passionate about innovation and low-ego teamwork.
Lead engineering deployment, scaling, and operations of AI compute clusters with GPU fleets and bare metal environments.
Drive reliability, monitoring, automation, and incident response for AI infrastructure.
Collaborate with AI/ML, networking, and product teams to align infrastructure with business needs.
Our partner is a fast-growing cloud environment focused on building large-scale AI infrastructure. They seek a senior leader to manage engineering operations for advanced AI compute clusters.
Lead the design and operation of GPU infrastructure for AI workloads.
Manage Kubernetes-based environments and optimize for AI training and inference.
Define operational standards, implement monitoring, and collaborate with AI engineering teams.
ELEKS is a software engineering company that partners with enterprises to accelerate digital transformation. They have a global team of over 2,000 professionals and foster a culture of innovation and collaboration.
Lead engineers deploying, operating, and optimizing AI compute clusters at scale.
Oversee cluster reliability, GPU fleet operations, and incident response.
Coordinate with cross-functional teams to ensure cluster capabilities meet AI workloads.
Vultr makes high-performance cloud infrastructure easy to use, affordable, and locally accessible for global enterprises and AI innovators. It is the world’s largest privately-held cloud infrastructure company, trusted by hundreds of thousands of customers across 185 countries.
Build enterprise-scale infrastructure using infrastructure-as-code and Kubernetes-native systems.
Sustain platform health and performance by owning critical systems in production.
Enable teams and customers to move faster with abstractions and tooling for AI/ML workloads.
Cake makes cutting-edge AI accessible to enterprise teams by removing infrastructure barriers, enabling 10x faster and cheaper AI/ML platform deployment. Backed by top investors, they have a small senior team focused on ownership and operational excellence.
Build and operate the ML lifecycle platform, including tooling for experiment tracking, model registry, and versioned pipelines.
Own CI/CD and deployment for ML workloads, building automated pipelines from notebook to production.
Make models observable and reliable in production with monitoring for latency, drift, data quality, and cost signals.
dv01 provides a data analytics platform for the structured finance market, offering transparency into investment performance and risk for lenders and Wall Street investors. With over 400 clients and coverage of over 100 million loans, dv01 is a data-first company with a diverse and innovative culture.
Implement, operate and document cloud projects, solutions and products.
Perform health checks, optimize monitoring and execute deployments in cloud environments.
Collaborate in DevOps/agile methods and automate with Infrastructure-as-Code and configuration management tools.
Deutsche Telekom IT Solutions is a subsidiary of the Deutsche Telekom Group, providing IT and telecommunications services. With more than 5300 employees, it is Hungary's most attractive employer in 2025 and operates four sites in Budapest, Debrecen, Pécs and Szeged.
Build and maintain backend services, Python libraries, and model lifecycle tooling for internal ML teams.
Design and operate distributed systems for model serving, evaluation, and feature engineering.
Focus on developer experience and reliability to help teams train, deploy, and serve ML models safely.
Monzo is on a mission to make money work for everyone, offering personal and business bank accounts, savings, investments, and more through a modern digital banking platform. With around 600 engineers out of roughly 5,000 employees, we value flexibility, collaboration, and open source contributions.
Lead a high-leverage remote team of four infrastructure engineers, driving the evolution toward a scalable zero-toil platform.
Guide the team through an AI-driven engineering approach to reduce manual work and achieve zero-touch, scalable infrastructure.
Prepare and execute the strategy for CI/CD and artifact distribution systems to scale during a quality surge without increasing engineering toil.
Camunda is the enterprise platform for agentic orchestration, enabling organizations to coordinate AI agents, people, and systems across complex business processes. Trusted by over 700 organizations worldwide, including 9 of top 10 US banks, Camunda is a fully remote and global company with 150+ engineers across 20+ teams, and is transforming into an AI-first organization.
Engineer end-to-end automation solutions integrating AI agents, MCP servers, and intelligent tooling for modernizing enterprise systems.
Build and own CI/CD pipelines using GitLab CI, Kubernetes, Terraform, and Ansible, augmented by AI-driven decision-making.
Design secure, scalable AIOps infrastructure with agentic workflows, OAuth-secured MCP servers, and proactive reliability engineering.
General Dynamics Mission Systems engineers a diverse portfolio of high technology solutions, products and services that enable customers to successfully execute missions across all domains of operation. With a global team of 12,000+ top professionals, we value trust, honesty, alignment and transparency.