Design, build, and operate scalable infrastructure platforms for large-scale AI model training and inference.
Manage and optimize GPU clusters, distributed training environments, and scheduling systems for machine learning applications.
Develop software solutions and automation tools using Python and systems programming languages like Go or C++.
Our partner builds and operates foundational technology powering advanced AI training and inference workloads at scale. They offer a collaborative culture focused on innovation, engineering excellence, and continuous learning.
Design, develop, and deploy AI agents and automation workflows powered by LLMs.
Integrate AI capabilities with enterprise platforms like CRM, ERP, and databases on Google Cloud Platform.
Build CI/CD pipelines, monitoring, and observability to ensure production scalability and reliability.
Jobgether is an AI-powered job matching platform that connects candidates with hiring companies using automated evaluation processes. They foster an inclusive culture and support professional growth in a collaborative environment.
Design and scale highly available backend services and APIs supporting AI-powered developer tools.
Develop distributed systems optimizing reliability, latency, cost, and performance at global scale.
Provide technical leadership through mentorship, code reviews, and collaboration across engineering teams.
Our partner is building next-generation AI-assisted software development experiences. This remote-first role contributes to a globally impactful AI platform with a collaborative culture focused on innovation, inclusion, and technical excellence.
Own end-to-end technical execution for strategic customer and partner engagements, including discovery, infrastructure design, implementation, and production deployment.
Design and build cloud infrastructure supporting advanced AI workloads, including simulation, training, evaluation, inference, and large-scale batch processing.
Improve platform reliability, security, performance, and cost efficiency by debugging issues across application, network, storage, compute, and orchestration layers.
The partner company is building the infrastructure foundation for next-generation AI applications and physical AI workloads. The engineering team is pioneering and values ownership, technical excellence, and solving challenging engineering problems at scale.
Embed with enterprise customers to architect and deploy production-grade AI solutions on Google Cloud.
Design and implement RAG pipelines, multi-agent systems, and agentic wrappers using Vertex AI and Gemini.
Co-build with customer engineering teams and drive handoff for long-term ownership.
Valtech is the experience innovation company that helps brands unlock new value in a digital world. They foster a workplace culture of creativity, diversity, and autonomy with a global team.
Design, build, operate, and maintain large-scale distributed systems for product metrics.
Develop backend services using Golang within a cloud-native, Kubernetes-based environment.
Ensure high performance, reliability, and cost efficiency of critical data processing systems.
The company builds a large-scale distributed data platform for real-time analytics and customer-facing insights. It is a remote-first organization with a strong engineering culture focused on ownership, learning, and technical excellence.
Design, build, and operate reliable infrastructure supporting AI-powered products.
Own and improve Kubernetes environments and cloud infrastructure.
Enhance production reliability through observability, automation, and incident response.
The company builds advanced AI-driven products and services. It values engineering excellence, autonomy, and individual contribution, with a global team of skilled engineers.
Design, develop, and enhance backend systems for enterprise AI governance.
Build scalable services and contribute to architectural decisions.
Collaborate with product and engineering teams to deliver impactful features.
The company builds a governance platform that helps organizations manage and scale responsible AI initiatives. Its size is not specified, but it fosters a collaborative, innovative culture focused on learning, continuous improvement, and diversity.
Design, implement, test, and deploy software features using Go and cloud-native technologies.
Collaborate with engineers, product managers, and end users to define solutions for real-world mission needs.
Contribute to open-source communities and mentor other engineers to improve engineering practices.
The partner company builds secure, cloud-native software solutions for critical mission environments. It fosters a remote-first culture with collaborative engineering teams and opportunities for professional growth.
Develop and enhance abuse prevention systems and detection rules to protect against evolving threats.
Build and maintain internal security platforms using Ruby on Rails and integrate AI-powered security capabilities.
Collaborate with cross-functional teams to implement security improvements and support incident response activities.
The hiring partner is a technology company that operates a large-scale software platform and prioritizes security and trust. The organization supports a fully remote workforce and emphasizes collaboration and professional growth.
Lead the design and automation of AWS cloud infrastructure using Terraform and CI/CD pipelines.
Integrate AI tools and workflows to enhance DevOps operations and reduce manual effort.
Collaborate with engineering teams to ensure secure, scalable, and reliable production systems.
The company develops innovative cloud and AI solutions for organizations across North America. They maintain a remote-first culture that values accountability, collaboration, and continuous improvement.
Develop and maintain scalable Go code for AI/ML components within a cloud platform.
Design and improve AI/ML services ensuring reliability, performance, and maintainability.
Collaborate with cross-functional teams to translate requirements into technical solutions.
Jobgether uses AI-powered matching to connect candidates with roles. They are a remote-first company with a focus on efficient and fair hiring processes.
Own product initiatives end-to-end, from discovery to delivery, combining engineering expertise with product judgment.
Translate ambiguous business goals into clear workflows, technical plans, and polished user experiences.
Use AI-assisted development tools to accelerate coding, debugging, refactoring, and testing.
Jobgether is an AI-powered job matching platform that connects candidates with companies. They use technology to review applications and share top candidates with hiring teams, fostering an inclusive, collaborative environment.
Participate in sales meetings, provide architectural recommendations, and build proof-of-concept solutions for onboarding high-spending customers.
Troubleshoot and resolve complex technical issues using code analysis, scripting, and log analysis.
Create and maintain technical documentation and deliver training sessions, webinars, and demos.
Runpod is the AI Developer Cloud, providing a platform for over one million developers to experiment, train, fine-tune, deploy, and scale AI. We are a small, remote-first team that takes ownership seriously, moves fast, and ships work relied on by more than a million developers daily.
Supervise engineering team, plan and oversee software development projects.
Collaborate with cross-functional teams to implement technical requirements for AI platforms.
Review software architecture, monitor project quality, and coordinate system deployment.
USA Tech is a technology company specializing in social media/influencer marketing and AI platforms. The company operates as an employer that permits remote work from anywhere in the US.
Build and maintain end-to-end deployment pipelines for AI-powered applications, including artifact builds, environment promotion, rollback, and observability hooks.
Stand up and operate the runtime and lifecycle infrastructure for production agents, including deployment, versioning, monitoring, rate-limiting, and retirement.
Design and build the shared developer harness that every AI-powered service uses: prompt management, model routing, retries, tracing, eval hooks, and policy enforcement.
RxSense is a healthcare technology company that provides platforms and solutions to improve the management and access of cost-effective pharmacy benefits. As a leader in SaaS technology for healthcare, the company offers innovative solutions with integrated intelligence on a single enterprise platform, connecting the pharmacy ecosystem.
Design, build, deploy, and maintain production LLM-based solutions and agent workflows.
Lead high-complexity, cross-functional AI initiatives from ambiguous problem definition through production adoption.
Partner with Cybersecurity and Compliance to design PHI-safe data handling patterns and ensure AI solutions align with relevant controls.
Included Health is a healthcare company delivering integrated virtual care and navigation, breaking down barriers to provide high-quality care for every person. They have a remote-first culture and are an Equal Opportunity Employer.
Design and deliver secure, scalable software solutions using Go within a cloud-native architecture.
Build platform capabilities for API security, cryptographic controls, AI governance, and supply chain security.
Collaborate with engineering, platform, and security teams to enhance production system security and resilience.
Jobgether is a platform that uses AI-powered matching to connect candidates with roles. They partner with companies to manage applications and next steps, fostering an inclusive and diverse working environment.
Build and operate large-scale cloud infrastructure for product metrics and real-time analytics.
Design, develop, and improve fault-tolerant distributed systems processing trillions of events.
Collaborate cross-functionally, perform code reviews, and participate in on-call rotation.
Jobgether uses AI-powered matching to connect candidates with hiring companies. They process applications quickly and share shortlists directly with employers, operating as a job platform seeking to streamline recruitment.
Design and deploy scalable AI and machine learning architectures using modern frameworks like LLMs and cloud platforms.
Develop, train, and optimize AI models, data pipelines, and AI-powered services with intelligent agents.
Collaborate with technical and business leaders to define AI strategy and translate business objectives into technical solutions.
They build advanced AI-powered systems for automation and business transformation. They offer a remote-first environment with a culture focused on integrity, respect, innovation, and continuous improvement.