Design and build AI solutions for real-world business problems.
Own the end-to-end lifecycle of AI features.
Develop and optimize LLM-based applications.
Remote People is building the infrastructure to power borderless teams. Their technology handles global payroll, benefits, taxes, and compliance, enabling businesses to hire anyone anywhere compliantly at the push of a button. They are committed to building a global, diverse team representing different and varied backgrounds, perspectives, and experiences.
Partner directly with product engineers to diagnose and resolve production issues, building solutions that prevent recurrence
Take end-to-end ownership of system components, designing with reliability and maintainability as primary concerns
Contribute to platform tools and frameworks that help all engineers ship reliably
Wealthsimple aims to help everyone achieve financial freedom by reimagining how they manage their money, using technology to make financial services transparent and low-cost. They are the largest fintech company in Canada with 3+ million users and over $100 billion in assets.
Lead technical decision-making and architecture design for scalable Voice AI solutions.
Directly influence how healthcare organizations use data and automation to enhance patient experiences.
Deliver impactful AI-driven solutions that improve operational efficiency and compliance in healthcare.
Jobgether is a platform that uses AI-powered matching to connect candidates with companies. Their system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company; the final decision and next steps (interviews, assessments) are managed by their internal team.
Implement new conversational experiences across engineering, data, and insurance.
Work on making our systems and product scale to support 10M+ members.
Influence system architecture and code quality, and mentor other engineers.
Alan is a vertically integrated health partner that unites insurance and smart healthcare delivery into one seamless system. They partner with tens of thousands of companies across France, Spain, Belgium, and Canada, serving over a million members, with a team of 700 people.
Migrate and test existing bulk flashcard creation prompts.
Run test suites and manually review AI outputs for quality and correctness.
Analyze real user data to identify failure patterns and improve prompts.
Brainscape is the world's leading web & mobile EdTech study platform. They help millions of learners create better flashcards and the company is looking for an AI Prompt Engineer to join their team.
Become a core member of our product engineering team, owning features from idea to production.
Design and build LLM-based scrapers that extract ranking data for prompts across major AI platforms.
Develop LLM-driven workflows and integrations that automate data collection, analysis, and insight generation.
saas.group is a company established in 2017 with a mission to turbocharge promising B2B SaaS ventures. They specialize in acquiring small software treasures and polishing them into industry stars with a dynamic, fully remote team of nearly 350 colleagues spanning 44 countries.
Build, lead, and coach a team of 5–8 engineers focused on building a robust, scalable platform for AI agents.
Architect the "Agent-First" Experience: Move dbt beyond a UI-driven tool by building the APIs and services required for agents to reason, plan, and execute within the dbt ecosystem.
Define dbt’s MCP Strategy: Lead the development of dbt MCP tools that allow Claude, Codex, and other LLMs to fetch context, validate SQL, and understand metrics without leaving their development environment.
Dbt Labs is the pioneer of analytics engineering, helping data teams transform raw data into reliable, actionable insights. With over 5,400 dbt Platform customers, including Astra Zenica, Sky, Nasdaq, Volvo, JetBlue, and SafetyCulture, they are backed by top-tier investors including Andreessen Horowitz, Sequoia Capital, and Altimeter.
Designing, developing, and deploying generative AI models.
Architecting and building agentic systems with autonomous decision-making capabilities.
Integrating generative AI and agentic solutions into existing products and services.
Jobgether leverages AI to match job seekers with roles. They use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements.
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.
Define and evolve the corporate GenAI architecture, ensuring strategic alignment and scalability.
Design and implement intelligent agent platforms, including orchestration and multi-agent workflows.
Define and standardize communication protocols between agents, adopting the Model Context Protocol (MCP).
Getnet is a global technology company specializing in payment solutions for commerce. As part of PagoNxt, the global fintech of Grupo Santander, we operate as an acquiring hub with a strong presence in Spain, Portugal, Brazil, Mexico, Chile, Argentina, and Uruguay.