Architect and ship new backend capabilities that integrate AI-adjacent functionality into Kraken’s core systems.
Design distributed services that meet high standards for reliability, performance, and correctness.
Own end-to-end technical design, from protocol and service boundaries through production deployment.
Kraken is a mission-focused company rooted in crypto values. It aims to accelerate the global adoption of crypto, so that everyone can achieve financial freedom and inclusion. As a fully remote company, Kraken has Krakenites in 70+ countries who speak over 50 languages.
Lead a strong team that develops and maintains core software for the Kraken backend platform
Design and implement libraries and microservices in Rust
Contribute to technical direction in design and review discussions for APIs, distributed systems, and foundational libraries
Kraken is a mission-focused company that is rooted in crypto values. They aim to accelerate the global adoption of crypto, so that everyone can achieve financial freedom and inclusion. Kraken is fully remote with Krakenites in 70+ countries who speak over 50 languages.
Design and implement APIs, services, and infrastructure.
Prototype rapidly and continuously improve system performance.
Podium brings AI Employees to local businesses that turn every conversation into revenue. Trusted by 60,000+ businesses, they have crossed $100M in AI Agent ARR, scaling 300% year-over-year and empowering real business outcomes for their customers.
Build and maintain AI request handlers, generation configs, and routing logic.
Implement monitoring systems, dashboards, and alerting for production AI system health.
Design metrics for analyzing the health and efficiency of our production AI resources.
Latitude is building the future of AI-native games, starting with AI Dungeon, an AI-powered role-playing game. They are a team of high-agency builders and storytellers who thrive on craft, curiosity, and community, and are a profitable, remote-first company with a hub in San Francisco.
You will define, build, and evolve foundational systems that enable autonomous agents to operate reliably in production.
You’ll explore new approaches, prototype quickly, and turn what works into durable platform foundations.
You’ll identify high-leverage architectural improvements, abstractions, and guardrails that expand what the platform can do while keeping it reliable, secure, observable, and maintainable under real-world conditions.
Kindo is an agent automation platform for DevOps and SecOps teams, helping organizations automate high-friction operational work using autonomous agents. They are a small, highly technical team with strong customer traction and real enterprise revenue, where engineers have direct ownership over critical systems.
Design and deploy high-performance agentic systems that leverage Fastino’s optimized model architectures.
Collaborate with engineering teams to turn novel architectural breakthroughs into scalable solutions for enterprise customers.
Drive rapid, iterative prototyping of AI functionalities, refining model performance and task-accuracy based on real-world telemetry.
Fastino is building the next generation of LLMs with a team of alumni from Google Research, Apple, Stanford, and Cambridge and has developed the GLiNER family of open source models. Fastino has raised $25M through seed round and is backed by leading investors including Microsoft, Khosla Ventures, and Insight Partners.
You will design, build, and operate core systems that enable autonomous agents to function reliably in production.
You’ll build production-grade agentic workflows, retrieval and memory systems, multi-model execution, and tool-calling integrations that interact safely with enterprise systems.
You’ll explore new approaches, prototype quickly, and turn what works into durable production systems.
Kindo is an agent automation platform for DevOps and SecOps teams. They help organizations automate high-friction operational work using autonomous agents. Kindo is a small, highly technical team with strong customer traction and real enterprise revenue.
Advise and architect scalable infrastructure solutions for high-growth crypto and FinTech applications.
Design and implement robust data pipelines and distributed systems.
Build and optimize cloud infrastructure with comprehensive observability solutions.
Lazer is a digital product studio with over 180 senior engineers and designers. They partner with clients ranging from early-stage startups to recognizable retail brands, helping them design, engineer, and grow their products.
Design and build production-grade AI systems, including RAG pipelines, multi-step agents, and LLM-powered features.
Build comprehensive evaluation and observability frameworks to measure model accuracy, grounding, and quality drift.
Create production-quality Python services to wrap AI logic into secure microservices.
League, founded in 2014, is the leading healthcare consumer experience (CX) platform powered by AI, reaching over 63 million people globally. Payers, providers, and consumer health partners use League’s platform to deliver high-engagement healthcare solutions and improve health outcomes.
Build evaluation infrastructure to measure AI system speed and accuracy.
Create observability tooling and dashboards that surface quality metrics week-over-week.
Prototype and validate improvements to our RAG pipeline.
Circle is building an all-in-one platform for online communities, enabling creators and businesses to bring together their audience with discussions, live streams, events, chat, courses, and payments. They are a fully remote company of around 200 team members from 30+ countries, valuing autonomy, trust, and collaboration across time zones.
Help build, implement, and deploy agentic platforms within client environments.
Focus on building and deploying scalable AI-driven solutions.
Work closely with client stakeholders, technical leaders, and delivery teams to build and roll out agentic capabilities.
Nearform is an independent team of data & AI experts, engineers, and designers who build intelligent digital solutions and capability at pace. With a team of 500 experts in 20+ countries, they are trusted by leading enterprises including Lululemon, Puma, and Starbucks.
Develop and maintain core framework and key software components for the Kraken trading engine
Build and design solutions that mitigate risk, implement security, and protect both systems and data
Improve site performance by designing and implementing low-latency and high-availability applications
Kraken is a mission-focused company rooted in crypto values. They develop premium crypto products for experienced traders, institutions, and newcomers to the space. As a fully remote company, they have Krakenites in 70+ countries who speak over 50 languages.
Bridge AI & Enterprise Infrastructure: Create the integration layer between modern Python-based AI frameworks and Tenable’s robust JVM-based microservices architecture.
Tenable is an Exposure Management company that helps organizations understand and reduce cyber risk. They have 44,000 organizations relying on them and foster a culture of belonging, respect, and excellence.
Define and evolve the technical vision for AI and agentic systems across products.
Design orchestration, data, and serving patterns that handle global scale with reliability.
Collaborate with AI Research to turn prototypes into extensible, governed production frameworks.
KnowBe4 is a cybersecurity company that puts security first, empowering over 70,000 organizations worldwide to strengthen their security culture. They value radical transparency, extreme ownership, and continuous professional development in a welcoming workplace that encourages all employees to be themselves.
Design and build scalable serving infrastructure for video generation models.
Build robust APIs and SDKs that enable customers and partners to integrate video generation into their products.
Develop compelling demo applications that showcase our platform's capabilities.
EnCharge AI is building the next generation AI platform with in-memory-computing architecture that delivers a 10x improvement in compute energy efficiency and performance for AI inference workloads. They are an experienced team of AI researchers, silicon & systems engineers, and architects backed by leading investors.
Design and implement tooling that enables researchers to quickly deploy and evaluate new models in production
Design, build, and maintain high-performance, cost-efficient inference pipelines, making architectural decisions about scaling, reliability, and cost trade-offs
Proactively identify and resolve infrastructure bottlenecks, proposing and scoping improvements to iteration speed and production reliability
AssemblyAI builds best-in-class Speech AI models that power the next generation of voice applications. They are a remote team building one of the next great AI companies where teammates define and build their company culture.
Analyze requirements and propose innovative AI-native solutions to technical problems
Write clean scalable code
Test and deploy features & services
WorkHero is building the AI-powered back office for the skilled trades, starting with the $50B+ HVAC industry. They have exciting traction and just closed a $5M seed round to expand their engineering and product organization, as well as add additional services.
Own the reliability, scalability, and performance of Peec AI’s core systems and infrastructure
Design, build, and maintain the tooling, automation, and monitoring that keep our services fast, secure, and highly available
Partner closely with product and engineering teams to ensure new features are reliable, observable, and easy to operate from day one
Peec AI is one of Europe’s fastest-growing Series A startups (no employee count/culture details given). They provide exciting and challenging work in the AI space.
Designing and developing the core platform that enables the efficient deployment, scaling, and management of LLMs and multi-agent systems.
Building specialized infrastructure to support long-running agentic workflows, including state management, tool-calling interfaces, and complex reasoning loops.
Scaling inference for LLMs to handle global demand while optimizing for latency, throughput, and cost.
Clarity AI is a global tech company founded in 2017 with a unique mission: bringing societal impact to markets. They leverage AI and machine learning technologies to provide top international investors, governments, companies, and consumers with the right data, methodologies, and tools to make more informed decisions. They are now a team of more than 300 highly passionate and curious individuals from all over the world.
Building world-class AI infrastructure to support a 100+ person research team.
Designing and scaling multi-cloud systems that support high-performance model training and inference.
Improving monitoring, alerting and system observability for AI workloads
Canva is redefining how the world experiences design. It has campuses in Sydney and Melbourne, and co-working spaces in other major cities, trusting employees to choose the balance that empowers them and their team to achieve their goals.