Serve as primary contact for hosted clients during implementation, migration, and service delivery.
Monitor, troubleshoot, and resolve cloud infrastructure issues to maintain service availability.
Manage SQL database migrations, restorations, and configurations across cloud and data center environments.
Our partner is a technology company that provides managed cloud services and supports mission-critical healthcare technology platforms. The company fosters an inclusive, diverse, and remote-first culture.
Design and build data ingestion pipelines and knowledge bases using enterprise search and AI retrieval technologies.
Implement secure data access controls and retrieval evaluation frameworks to ensure accuracy and compliance.
Collaborate with architects and customer teams to align data strategies and enable long-term adoption of AI solutions.
A partner company specializing in enterprise AI and data solutions is seeking a Data / Search Specialist. The company operates with a focus on secure and scalable AI adoption, though its size and culture are not specified.
Provide technical support to customers across the full stack, from PostgreSQL databases to cloud infrastructure and Kubernetes.
Troubleshoot and optimize database performance, query execution, and implement TimescaleDB features like hypertables and compression.
Collaborate with engineering and internal teams to resolve complex issues and contribute to platform improvements.
Tiger Data is the fastest PostgreSQL platform for transactional, analytical, and agentic workloads, trusted by over 2,000 customers globally. With a remote-first, globally distributed team, they emphasize direct communication, accountability, and collaborative excellence.
Lead complex AI engineering workstreams across multiple business areas and stakeholder groups.
Design and build AI-powered applications using LLMs, agents, and modern architectures.
Establish best practices for prompt engineering, API integrations, and code quality.
The partner company focuses on designing and delivering advanced AI solutions that help organizations transform business processes and create measurable value. It offers a collaborative and inclusive culture with opportunities for career growth and international mobility.
Design, build, and maintain scalable machine learning infrastructure on AWS, including training and deployment pipelines.
Develop and deploy ML models for recommendation systems, fraud detection, credit risk, and personalization use cases.
Implement monitoring, logging, and alerting systems to ensure model performance, stability, and reliability in production.
Our partner is a fast-growing, innovation-driven company where machine learning and AI systems directly power large-scale fintech and commerce experiences. They foster a highly dynamic environment with strong emphasis on experimentation, rapid iteration, and measurable business impact.
Design and build scalable backend systems for AI governance, including auditability, policy enforcement, and enterprise reporting.
Collaborate with distributed engineering teams to define architecture and improve engineering practices for secure AI adoption.
Mentor engineers and contribute to technical direction in a remote, asynchronous environment.
This role is offered through Jobgether, an AI-powered matching platform that connects candidates with hiring companies. Jobgether uses advanced systems to review applications and share top-fitting candidates directly with employers.
Provide technical support for AI applications, APIs, and cloud deployments, troubleshooting complex issues and ensuring timely resolution.
Collaborate with engineering teams to escalate and resolve bugs, contribute to documentation and internal tooling.
Participate in global follow-the-sun support operations to assist customers across multiple time zones.
Tavily provides AI-powered solutions for developers and enterprise customers. They are a growing international team with a focus on innovation and customer success.
Provide high-quality technical support to customers by diagnosing and resolving complex application issues.
Perform root cause analysis and collaborate with engineering teams to ensure timely resolution.
Create and maintain technical documentation and knowledge base articles following best practices.
This company provides innovative software solutions and seeks a Customer Support Engineer to deliver advanced technical support. They foster a collaborative global environment with experienced and motivated teams.
Serve as the trusted technical advisor to LanceDB's global partner ecosystem, enabling partners to architect and deploy LanceDB solutions.
Lead partner enablement, joint architecture co-delivery, and create scalable technical content such as reference architectures and integration guides.
Act as the primary technical liaison between partners and internal Product/Engineering teams, influencing the product roadmap.
LanceDB is a high-performance, open-source data lake built for multimodal AI, powering applications from vector search to RAG. They are a world-class team of open-source builders working at the forefront of AI infrastructure.
Design and build LLM-powered AI components for internal tools and user-facing applications.
Develop systems for data retrieval, embeddings, and intelligent automation workflows.
Collaborate with cross-functional teams on AI use cases and contribute to technical vision.
Jobgether powers job matching using AI to connect candidates with opportunities. They emphasize a remote-first, collaborative culture with high autonomy and flat structure.
Own end-to-end technical support for enterprise and strategic customers in APAC, debugging and resolving advanced issues with APIs, model behavior, and infrastructure.
Serve as the primary technical contact for APAC, managing high-volume requests during business hours and advocating for regional needs with product and engineering teams.
Create and maintain technical documentation, train future hires, and automate repetitive tasks to improve support efficiency and scalability.
Mistral provides full-stack AI solutions including frontier models, developer tools, and compute for enterprises across high-stakes industries. The global team of diverse, low-ego professionals is distributed across Europe, North America, Asia, and the Middle East, fostering a collaborative and innovative culture.
Develop and enhance fullstack features that ingest, model, and synchronize data into scalable platforms.
Build integrations with external platforms and contribute to dashboards and reporting solutions.
Design and implement secure backend services and APIs while supporting AI-enabled workflows.
The company builds data-driven products that transform software development insights into actionable intelligence. It operates in a fast-paced, highly collaborative environment with a globally distributed team.
Research and develop a platform utilizing cutting-edge AI agents for generative AI and machine learning solutions.
Design, implement, and optimize end-to-end machine learning pipelines, including LLMs, prompt engineering, and agentic AI.
Collaborate with cross-functional teams to deliver enterprise-grade AI architectures in financial, healthcare, or insurance industries.
The company operates in the technology, information, and media sector, focusing on software development. It is a mid-sized organization with a remote-first culture, seeking a Senior GenAI/Agentic AI Engineer to develop cutting-edge AI agents.
Build and deploy AI agents and multi-agent systems on Azure using composable patterns.
Design orchestration patterns, tool integrations, and RAG pipelines for production.
Implement CI/CD, responsible AI controls, and production monitoring for AI solutions.
Beyondsoft is a leading mid-sized IT and consulting company that combines modern technologies and proven methodologies to tailor solutions. Our global team of diverse experts thrives on innovation and pushing the bounds of technology, with a presence spanning four continents and a customer-centric engagement model.
Provide advanced technical support to enterprise customers across multiple channels.
Troubleshoot complex software, integration, and infrastructure issues, collaborating with engineering teams.
Act as a trusted technical advisor, helping customers adopt and optimize platform capabilities and influencing product roadmap.
They help enterprise customers maximize the value of modern data and AI platforms. They are a collaborative team focused on innovation, continuous learning, and customer success.
Design, build, and deploy AI-powered solutions connecting Remote’s platform to customer systems and workflows.
Work at the frontier of practical AI, shipping reliable, observable, and secure systems in production.
Own customer outcomes from discovery through production rollout with high autonomy and direct influence on product roadmap.
Remote is a global HR platform that helps businesses recruit, pay, and manage international teams compliantly. The company fosters a future-focused, async culture with team members across 6 continents and emphasizes innovation, automation, and AI.
Design and build scalable backend services using Python, AWS, and Kubernetes to improve developer productivity.
Lead technical initiatives across the engineering organization with 7–10 years of experience.
Work on production AI/LLM applications and microservices architecture in a fully remote European team.
Codeminders develops cutting-edge software solutions for high-tech companies, focusing on AI, mobile apps, video conferencing, and cloud computing. They collaborate with world-class engineers from the US and Ukraine and uphold strong ethical standards with no business ties to Russia or Belarus.
Orchestrate technical delivery as the primary post-sale point of contact, coordinating with Solutions Architects, Engineers, and Support.
Drive adoption value by guiding customers through implementation to achieve business goals using Vector Search.
Manage technical health, stakeholder alignment, and serve as escalation manager for critical issues.
Qdrant is an open-source vector search engine powering next-generation AI applications, trusted by global leaders like Canva, HubSpot, and Tripadvisor. Recently raising $50M in Series B funding, we are a remote-first, rapidly growing company with a diverse team committed to shaping the future of AI.
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.