Build Containerized Agent Systems: Design and implement systems that leverage Docker containers as the ideal runtime for AI agents, ensuring isolation, scalability, and portability
Expand cagent: Maintain and evolve the open-source cagent project, adding new capabilities for containerized agent deployment and orchestration
Agent Runtime Development: Build robust infrastructure for packaging, deploying, and managing agents in containers
Define the technical vision and architecture for AI-powered developer tools.
Design and build the foundational platform that empowers product and platform teams.
Partner with product and engineering leadership to evaluate productization opportunities.
Docker makes app development easier, allowing developers to focus on their work. They are a remote-first team and the #1 tool for building, sharing, and running apps, trusted by startups and Fortune 100s alike.
Engineer features for Kubernetes and Azure Red Hat OpenShift deployment and lifecycle management.
Define deployment infrastructure architecture and drive offerings from inception to delivery.
Play an active role in container and virtualization-related projects and communities.
Jobgether uses an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Their system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company.
Contribute to both the technical and product roadmap.
Collaborate with product managers and engineers.
Mentor and support teammates.
TrueML is a mission-driven financial software company creating better customer experiences for distressed borrowers. They are building technology to serve people in a way that recognizes their unique needs and preferences.
Design, build, and deploy AI Agents including custom tools, prompt engineering, orchestration workflows, and agent design patterns.
Contribute to the backend infrastructure powering Candidly's AI capabilities, including API development, data integrations, and data pipelines.
Work closely with stakeholders across product, design, engineering, and leadership to translate complex AI concepts into actionable strategies and features.
Candidly, founded in 2016, is the category leader with the market’s most comprehensive AI-driven student debt and savings optimization platform. They partner with hundreds of top employers, financial institutions, and retirement record keepers, positioning Candidly to serve more than 35 million Americans. Candidly is a high-growth, Series B startup, funded by leading investors with an international team of 70 (and counting).
Design and implement AI-powered features end to end, including prompts, agents, tools, retrieval, evaluation, and feedback loops.
Build agent systems that interact safely with infrastructure, codebases, and deployment pipelines.
Integrate LLMs deeply into product workflows as core platform primitives.
SuperPlane is an AI-native DevOps control plane with a mission to build the platform teams use to ship and manage software in the AI era. They are a fast-moving company aiming high, rethinking DevOps from first principles for the AI era to create a single control layer for engineers and agents to collaborate safely.
Build and scale the AI Agent platform enabling high-volume, real-time conversational workflows.
Design and implement APIs, services, and infrastructure that power multi-turn, cross-channel customer interactions.
Prototype rapidly, iterate with live interaction data, and continuously improve system performance and user experience.
Podium provides a complete platform and outcome-driven AI employees that convert leads into real, paying customers. Recognized by Forbes’ Next Billion Dollar Startups, Forbes’ Cloud 100, the Inc. 5000, and Fast Company’s World’s Most Innovative Companies, Podium fosters a culture that thrives on hiring and developing exceptional talent.
Design cloud-native architectures for agentic AI workloads using Kubernetes/EKS, Terraform, Docker, serverless APIs, AWS Batch, and async orchestration frameworks.
Define agentic system patterns using LangChain, LangGraph, Autogen, LlamaIndex, Pinecone, and other multi-agent frameworks; ensure consistency of prompt/tool design.
Architect vector database, RAG, embeddings pipelines, and model-serving endpoints (LLM/SLM) with strong emphasis on scalability and latency management.
AHEAD builds platforms for digital business by weaving together advances in cloud infrastructure, automation and analytics, and software delivery, helping enterprises deliver on the promise of digital transformation. They prioritize creating a culture of belonging, where all perspectives and voices are represented, valued, respected, and heard.
Design scalable, future-proof data platforms optimized for AI research workloads.
Build efficient self-serve data processing pipelines leveraging GCP's advanced services.
Implement guardrails for cost, quality, and performance.
AssemblyAI is at the forefront of Speech AI, creating powerful models for speech-to-text and speech understanding via an API. They're a remote team of startup veterans and AI researchers looking to build one of the next great AI companies.
Collaborate with cross-functional teams to improve scalable AI systems.
Research, evaluate, and integrate new AI technologies for payment systems.
Build and deploy AI solutions using Python, LLM libraries, AI services, and AWS.
DLocal enables companies to collect payments in 40 emerging market countries, helping global brands increase conversion rates and simplify payment expansion. They have 1000+ teammates from 30+ different nationalities and offer a flexible, remote-first dynamic culture.
Define the long-term AI vision and technical direction for the product
Design and review architectures and system designs
Lead research and experimentation into new AI technologies
Solink provides businesses with tools to transform video security into real-time operational insights. They are a rapidly growing company with over 30,000 locations across 32+ countries and have been recognized by Deloitte’s Fast 50™ and Fast 500™ and as one of Ottawa’s Best Places to Work.
Design, develop, and maintain backend systems in Python, integrating AI-driven functionalities and APIs
Implement prompt engineering, Retrieval-Augmented Generation (RAGs), and basic generative AI solutions into platform workflows
Collaborate on AI model deployment, fine-tuning, and production integration
Impiricus is the first and only AI-powered HCP Engagement Engine created to cut through the noise and put physician care delivery at the forefront. The company is committed to providing life science companies with AI technology needed to deliver evidence-based resources into the hands of HCPs.
Design, develop, and deploy agentic AI solutions for clients.
Build multi-agent systems and integrate models with enterprise systems.
Collaborate with clients and engineers to create scalable solutions.
AHEAD builds platforms for digital business, weaving together advances in cloud infrastructure, automation, analytics, and software delivery to help enterprises deliver on digital transformation. They prioritize creating a culture of belonging where all perspectives are valued and heard.
Lead a cross-functional AI product engineering team, owning strategy and execution across multiple Copilot experiences
Drive technical direction and product evolution for the AI stack, inference backend, user-facing AI products
Interface closely with the AI Research and Model Training team to align on model capabilities, evaluation methodology, data/training pipelines, and the productionization path for new models and techniques
Cribl is a data engine for IT and Security. Many big names in demanding industries trust Cribl to solve their pressing data needs; they are growing rapidly and collaborative, with curious and motivated team members who are passionate about putting customers first.
Lead domain-specific model optimization using PEFT (LoRA/QLoRA) and knowledge distillation to balance cost, latency, and reasoning capability.
Build next-gen Retrieval-Augmented Generation pipelines using hybrid search, cross-encoders, and self-correcting retrieval loops.
Design and deploy multi-agent systems using frameworks like LangGraph or CrewAI, enabling autonomous task planning and tool-use (Function Calling).
ServiceNow is a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Their intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work.
Deeply understand the needs and workflows of platform engineers.
Write tools, services, configuration to ensure a low friction experience.
Take on ownership of our existing configuration frameworks.
Canva is a design platform that empowers everyone to create and publish anything. They have campuses in Sydney and Melbourne, as well as co-working spaces in Brisbane, Perth and Adelaide, and strive to create moments of magic, connectivity and fun throughout life at Canva.
Design and deliver scalable AI systems that connect models, data, and products.
Turn research prototypes into secure, reliable, production-ready services.
Build pipelines and serving layers that power adaptive, real-time features.
KnowBe4 is a cybersecurity company that puts security first, offering an AI-driven Human Risk Management platform. They empower over 70,000 organizations worldwide to strengthen their security culture and transform their workforce into their strongest security asset.
Design, build, and scale enterprise-grade AI/ML systems that power internal workflows and external-facing AI/ML platforms.
Develop a production-ready Generative AI and MLOps platform with reusable components used to deploy multiple AI solutions across Natera’s business units.
Implement cloud-native infrastructure for large-scale model training and serving using Kubernetes, MLflow, Terraform, and AWS-native services
Natera is a global leader in cell-free DNA (cfDNA) testing. They are dedicated to oncology, women’s health, and organ health, aiming to make personalized genetic testing and diagnostics part of the standard of care. The Natera team consists of highly dedicated statisticians, geneticists, doctors, laboratory scientists, business professionals, software engineers and many other professionals from world-class institutions.
Own the reliability, performance, and operational health of production AI systems.
Lead efforts to refactor and harden the AI codebase.
Design and build monitoring, alerting, and debugging tools.
MixMode is a leading provider of AI-powered cybersecurity solutions at scale, pioneering a patented third-wave, context-aware AI approach. Large organizations with big data workloads trust MixMode to defend their most important assets.