Architect, build, and own full-stack software platforms supporting enterprise infrastructure and operations teams.
Lead technical design of systems that ingest, process, analyze, and expose infrastructure and operational data at scale.
Develop backend services, APIs, and web interfaces with advanced search and usability tailored for technical users.
Cision is the global leader in consumer and media intelligence, engagement, and communication solutions, serving over 75,000 companies including 84% of the Fortune 500. We foster an inclusive culture where diversity, equity, and inclusion drive innovation and long-term success.
You will lead the reliability and operational evolution of our platform, building and improving system resiliency and establishing SLIs and SLOs.
You will partner with product engineering teams to own and operate their services, evolving observability platforms and strengthening incident practices.
You will contribute to day-to-day cloud infrastructure work alongside reliability specialty, including on-call rotation.
Rocket Money is a financial technology company that empowers people to live their best financial lives by providing insights and services to save time and money. The company runs hundreds of services in production, processing billions of transactions, and has a culture of reliability and innovation.
Take ownership of your work and its impact on real users across the globe.
Stay curious and continuously learn new skills and technologies to solve meaningful problems.
Collaborate across functions to build high-quality products that remove friction for hosts and travelers.
ABC Inc is a remote-first technology company building products that make booking and hosting holiday homes simpler and more joyful. They are a growing team of curious, driven people spread across the globe who value ownership, collaboration, and continuous improvement.
Define low-level architecture designs and guide developers on technical decisions.
Lead the technical architecture of Generative AI agents, including orchestration, tool integration, and memory mechanisms.
Ensure applications meet security, compliance, resilience, and efficiency requirements.
Banco BV is a financial institution that provides banking services. Their internal audit team is building a data-driven platform using AI and automation, focusing on technical excellence and collaboration.
Design, implement, and evolve agentic flows that transform the SDLC for development teams.
Customize and configure generative AI platforms for specific client SDLC needs, including skills, personas, prompts, and contexts.
Act as a technical reference across teams, supporting client meetings, solution discussions, and spreading engineering and AI culture.
We help large companies transform AI potential into real business impact with AI deployment, AI-native and tech-integrated business solutions. With 30 years of experience, we have 8,000 employees across 25 countries, collaborating to build solutions with real impact.
They are a technology company focused on integrating AI capabilities into customer-facing products and internal workflows. The team is fast-moving and product-focused, with a culture of ownership and continuous iteration.
Lead technical discovery and design integrations between robotics systems and our platform in enterprise distribution centers.
Build and commission control and motion logic for industrial palletizing and sortation cells, including safety and failure recovery.
Own the control interface layer using ROS 2, vendor SDKs, and industrial protocols to bridge vision AI output to machine action.
PackageX is building the Physical Logistics Execution Platform for enterprise teams operating across manufacturing, distribution, and retail environments. They leverage Vision AI and workflow automation to digitize and verify physical operations at the point of work.
Build and maintain ETL pipelines for ingesting, transforming, and loading structured and unstructured data across internal systems.
Develop backend services and tooling in Python and TypeScript to support data processing workflows and API integrations.
Integrate and optimize LLM inference pipelines, including prompt engineering, model serving, and evaluation of large language model outputs.
Brave is on a mission to protect the human right to privacy online, building a free web browser that blocks ads and trackers, a private search engine, and a private ad network. It is a well-funded international startup with over 120 million users worldwide.
Design, build, deploy, and monitor LLM-powered document analysis pipelines that serve lawyers daily, meeting defined latency SLAs and accuracy benchmarks.
Architect multi-step, multi-agent systems for complex legal tasks with robust state management, tool calling, and human-in-the-loop checkpoints.
Collaborate with lawyers and product to translate ambiguous legal workflows into structured AI problems and iterate based on user feedback and eval results.
Cleary Gottlieb is a global law firm that provides legal services through 14 offices in major financial centers worldwide. The firm employs approximately 1,100 lawyers from more than 50 countries and operates as a single, integrated global partnership with a culture of intellectual agility and human touch.
Contribute to production AI systems by building, testing, and improving LLM-powered document analysis features for lawyers.
Help clean, structure, and label legal data to power AI systems, building data pipelines that make models work in practice.
Implement bounded components of multi-step AI workflows for legal tasks under senior engineer supervision.
Cleary Gottlieb is a global law firm with 14 offices and approximately 1,100 lawyers from over 50 countries. Their internal AI team builds bespoke AI solutions for legal work, fostering a tight-knit, remote-first culture that values growth, honesty, and curiosity.