Build the core AI platform that powers a copilot inside a new, AI-native trading experience.
Develop a high-performance backend in Rust supporting streaming responses, low-latency tool execution, caching, and reliable orchestration of model plus tools.
Design robust APIs and runtime components for AI capabilities including authentication, rate limits, auditing, tracing, retries, and fallbacks.
Design and build evaluation systems to measure correctness, safety, latency, and regression risk for an AI copilot in a trading platform.
Develop automated quality gates, benchmark suites, and incident response for AI model reliability.
Partner with engineering and product to define safe tool/action contracts and drive model improvement loops.
Clear Street is modernizing the brokerage ecosystem by building a cloud-native clearing and custody system for capital markets. Founded in 2018, the firm supports billions in daily trading volume and fosters a collaborative culture with diverse, high-performance teams.
Build a best-in-class web experience for sophisticated retail traders on a new AI-native active trading platform.
Ship core active trading workflows including order entry, positions, blotter, watchlists, alerts, and high-density data views.
Collaborate with users and backend engineers to design low-latency interactions and AI tool integration.
Clear Street modernizes the brokerage ecosystem with a cloud-native clearing and custody system for capital markets. Founded in 2018, the company supports billions in daily trading volume and fosters a collaborative, high-performance culture with a focus on diversity.
Design and build a next-generation reliability platform for Affirm's production systems, blending distributed systems engineering with AI-assisted development.
Create AI agents and a centralized command center to assist with incident triage, root-cause analysis, and unified system health visualization.
Own projects end-to-end, from requirements to rollout, collaborating with partner teams to build powerful, simple solutions for developers.
Affirm is reinventing credit to make it more honest and friendly, offering consumers the flexibility to buy now and pay later without hidden fees. The company is a remote-first organization with a strong focus on people-first values and inclusive benefits.
Build and maintain backend services, Python libraries, and model lifecycle tooling for internal ML teams.
Design and operate distributed systems for model serving, evaluation, and feature engineering.
Focus on developer experience and reliability to help teams train, deploy, and serve ML models safely.
Monzo is on a mission to make money work for everyone, offering personal and business bank accounts, savings, investments, and more through a modern digital banking platform. With around 600 engineers out of roughly 5,000 employees, we value flexibility, collaboration, and open source contributions.
Design, build, and maintain MCP servers and tools in Rust to shape how AI agents interact with federated graphs.
Ship customer-driven improvements weekly and engage directly with users to influence the roadmap.
Own projects end-to-end while contributing to codebase health, bug fixes, and operational reliability.
Apollo builds tools for GraphQL platforms used by companies like Netflix. The team is collaborative and focused on growth, aiming to change how software is built.
Define and lead the long-term technical architecture of a football super app using Rust-based systems.
Oversee backend architecture, real-time systems, and AI-powered infrastructure for social feeds, messaging, and video.
Partner with leadership on product strategy and establish engineering culture, hiring standards, and execution processes.
Travoom is currently focused on building OleOle, a football-focused social network and super app, while oleolesport.com operates as a curated football travel marketplace. The company is a privately held startup with a distributed international team working remotely.
Build and scale mission-critical order and execution management infrastructure in Rust.
Design systems balancing low-latency execution, fault tolerance, and correctness across distributed trading workflows.
Translate evolving regulatory and market structure requirements into reliable, testable platform capabilities.
Clear Street is a diversified financial services firm modernizing the brokerage ecosystem with a cloud-native clearing and custody system. Founded in 2018, the company is a small, growing team with a meritocratic culture that champions collaboration.
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.
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.
Own end-to-end delivery of core data platform components including schema mapping, normalization, and validation pipelines.
Drive technical architecture for an AI-native data warehouse serving institutional financial clients.
Build AI evaluation infrastructure to ensure trustworthy outputs in high-stakes financial data contexts.
Juniper Square is a private market operations platform that unifies technology, data, and fund administration services for over 2,300 GPs. With 1,000+ employees and $350M+ in funding, the company has a founder-led culture focused on ambitious, meaningful work and diverse perspectives.
Build and improve Nitro, the core node software powering Arbitrum, focusing on transaction execution, state management, and network performance.
Solve distributed systems challenges and enhance reliability, observability, and security across critical blockchain infrastructure.
Develop new capabilities for the Arbitrum stack, including Stylus, which enables smart contracts in Rust and C/C++ via WASM.
Offchain is pioneering blockchain scalability and security, building the Arbitrum stack that powers the leading Ethereum scaling solution. The company is backed by $124 million in funding and has a team of thinkers and doers committed to decentralized systems and a more equitable digital future.
Design and build scalable backend systems powering AI agents in real-time enterprise environments.
Develop agent orchestration frameworks and low-latency inference pipelines integrating LLMs and SLMs.
Build robust APIs and work with cross-functional teams to productionize agentic AI at scale.
Level AI is an AI-native platform that helps enterprises transform contact centers into engines of customer intelligence and operational efficiency. The company is a Series C startup backed by Battery Ventures and ENIAC, based in Mountain View, California, with a globally distributed team.
Build and scale high-throughput ingestion and trace-query systems for LangSmith, a purpose-built observability platform.
Set API, SDK, and CLI standards across Python, TypeScript, Go, and Java for consistent developer experiences.
Own integrations with AI frameworks and tools, ensuring LangSmith remains framework-agnostic and easy to adopt.
LangChain builds the foundation for agent engineering, helping developers go from prototypes to production-ready AI agents with platforms like LangSmith and open-source frameworks. With $125M raised from top VCs and 100M+ monthly open source downloads, the team is small but impactful, shaping how AI agents operate in the real world.
Design, build, and deploy production AI applications, copilots, retrieval systems, and agentic workflows.
Develop backend services, APIs, and application architectures integrating AI capabilities into enterprise systems.
Deploy AI solutions with security, observability, monitoring, evaluation, and governance.
Aimpoint Digital is a data, AI, analytics, and operations research advisory and solution engineering firm that helps organizations design and deploy enterprise-grade AI platforms and production applications. The company is a technical partner focused on moving beyond experimentation, emphasizing strong engineering discipline and scalable architecture.
Architect and build a high-performance trading platform for active traders.
Collaborate with cross-functional teams on large-scale initiatives.
Prioritize end-user experience and maintain high code quality.
Clear Street is modernizing the brokerage ecosystem by replacing legacy infrastructure with a cloud-native clearing and custody system. Founded in 2018, the firm supports billions in trading volume daily and fosters a collaborative, innovative culture.
Design and optimize scalable, secure, and maintainable AI-powered software solutions, integrating machine learning models and generative AI services.
Champion engineering excellence by writing high-quality, well-tested code and guiding peers in best practices for AI integration.
Collaborate cross-functionally to evaluate new AI capabilities and contribute to the roadmap for AI-enabled features and platforms.
BECU is a financial cooperative with 1.5 million members and over $30 billion in managed assets, focused on people over profits. With 90 years of history and a purpose-driven culture, they are one of the nation's leading credit unions, emphasizing employee support and community well-being.
Architect and manage production-grade AI systems for real-time market intelligence and user engagement.
Build and scale high-performance systems with extreme low latency, supporting tools like the 24/7 Terminal and BOOST Scanner.
Lead on-demand AI initiatives from concept to deployment, ensuring seamless data-to-insight lifecycles and commercial ROI.
Crypto Banter is the world's number one live crypto streaming channel, covering Bitcoin, breaking news, and market moves daily. With over 140 team members and 85k daily active users, we are a fast-growing, passionate group of enthusiasts and entrepreneurs.
Design, build, and deploy AI-powered product features leveraging LLMs to enhance user workflows.
Develop and maintain evaluation frameworks, guardrails, and monitoring systems for AI reliability.
Collaborate with cross-functional teams to integrate generative AI into backend services and APIs.
This company provides a modern SaaS platform that helps organizations strengthen security, compliance, and trust. They have a remote-first environment with a strong engineering culture focused on ownership and collaboration.
Develop, ship, and maintain features and improvements for Agentic Tools across the GitLab monolith backend in a secure, well-tested, and performant way.
Collaborate with Product Management, UX, frontend, backend, and AI specialists to refine requirements and deliver high-quality, iterative product enhancements.
Design, implement, and review GraphQL, REST APIs and related backend logic, ensuring reliability, scalability, and clear contracts with frontend clients.
GitLab is the intelligent orchestration platform for DevSecOps, enabling organizations to increase developer productivity and improve operational efficiency. More than 50 million registered users and more than 50% of the Fortune 100 trust GitLab, and the company embraces AI as a core productivity multiplier with a high-performance culture driven by values and continuous knowledge exchange.