Design and build customer-facing features in a multi-tenant backend using Go and PostgreSQL.
Develop AI-powered workflows and integrations that turn fragmented data into actionable customer insights.
Own features end-to-end, ensuring reliability, performance, and production readiness across AWS and on-premise deployments.
They build customer intelligence platforms and AI-powered workflows that solve real business challenges. They operate as a product-focused technology environment with a fully remote team, valuing independent problem-solving and collaboration.
Develops backend services and APIs using Go or Python
Writes clean, tested, and maintainable code with guidance from senior engineers
Collaborates with teammates in English, in meetings and in written documentation
Insider One is a platform that unites marketing and customer engagement tools in one place. The company has 1,500+ team members across 30+ offices, fostering a progressive, inclusive culture.
Build and maintain scalable backend services, distributed systems, and APIs for the AgentControl product.
Collaborate with product managers, designers, and engineers to improve GenAI workflows and drive architecture decisions.
Take ownership of production code, participate in on-call rotations, and optimize performance, reliability, and scalability.
LaunchDarkly is a feature management platform that helps developers deliver and control software features safely. The company values humility, collaboration, and diversity, and is committed to building a high-trust, transparent team.
Build AI-based features into a platform serving millions of users.
Work directly with the platform architect to bring deep, hands-on LLM-stack expertise to production.
Stand up core AI infrastructure from scratch and shape engineering practices as the team grows.
TMTG is a social media company dedicated to delivering an engaging and censorship-free experience. It is fast-paced, rapidly growing, and committed to free speech.
Develop the architecture and infrastructure needed to scale the product to a large user base.
Build and operate the agent runtime, including orchestration, memory, verification, and supporting systems.
Take projects end to end across backend, infrastructure, frontend, and AI agents.
They are an early-stage AI infrastructure startup building scalable infrastructure for AI-powered service businesses. As the first engineer, you'll work directly with the founder in a fast-moving, ownership-driven culture.
Build, configure and deploy AI agents for enterprise customers.
Integrate with customer APIs, databases and CRMs.
Tune and troubleshoot agents on live traffic.
A late-stage, venture-backed enterprise AI company deploying AI agents inside large customers' systems. They value ownership, with engineers handling integration to launch with no handoff.
Architect and develop reliable, scalable backend services for a business-critical energy trading platform.
Leverage AI-assisted coding tools and TDD to accelerate delivery while maintaining high engineering standards.
Mentor engineers and collaborate with product and frontend teams to shape architectural decisions.
The company develops a business-critical energy trading platform with demanding reliability and scalability requirements. They embrace an AI-first engineering culture and offer fully remote work with opportunities for mentorship and technical ownership.
Build and ship end-to-end product features across frontend, backend, and AI pipelines independently.
Advance AI capabilities through prompt engineering, evaluation, and multi-provider setups in production.
Operate live systems and shape technical architecture, engineering standards, and roadmap as an early hire.
The company builds digital infrastructure for grant funding, aggregating 18,000+ funding programmes with AI-supported analysis and expert review. As one of the first engineering hires, you'll shape the culture of ownership, iteration, and customer-first values.
Architect and build production-grade agentic systems for platform automation and internal engineering workflows.
Design a shared AI platform with LLM gateway, observability, and evaluation for reliable AI capabilities.
Set technical direction, mentor engineers, and drive an AI-first culture across the Platform Services team.
HighLevel is an AI-powered business operating system that helps agencies, entrepreneurs, and SMBs automate and scale. With over 2,000 team members across 10+ countries, it operates as a global, remote-first organization built for speed and ownership.
Own and improve the platform that processes customer jobs, focusing on speed, reliability, and resource efficiency.
Partner with machine learning teams to serve models effectively and integrate them into production workflows.
Build and maintain infrastructure for databases, task orchestration, workload scheduling, and cloud deployments.
They build an AI document processing product and operate its platform infrastructure. Company size and culture are not specified, but engineers work closely with ML teams and own platform reliability.
Ship end-to-end AI products: transform ambiguous business challenges into scalable, production-grade AI features and applications.
Build persistent and compliant AI memory architectures using vector stores like Pinecone and Pgvector.
Unify fragmented enterprise data by developing pipelines integrating CRM, ERP, and marketing platforms for reliable AI agent sources.
Nortal is a global digital transformation company that delivers complex solutions for enterprises and public sector organizations. With over 25 years of experience, it fosters a culture of autonomy, open communication, and respect for diversity, working as a close-knit remote team across LATAM.
Develop high-performance, reusable code for professional web apps and analytics dashboards.
Work closely with clinical teams to design ideal user workflows and improve software quality.
Monitor production performance, run load tests, and embed AI-powered automation.
Sword is a clinical-centric AI lab building AI-powered care for physical therapy, women's health, cardiometabolic, and mental health. With 700,000+ members and $500M+ raised, it fosters an AI-native culture of ownership, speed, and collaboration.
Design and build agentic AI systems behind Velona, including LLM-orchestration loops and autonomous agents.
Develop high-scale backend services in Go, with Python and JavaScript, for performance and reliability.
Build tools and agents that execute analytical reasoning over fleet data with multi-tenant isolation.
SOFICO Intelligence applies advanced AI to extract value from back-office systems, building agentic AI that reasons over financial and fleet data. The company is backed by SOFICO and operates as a remote-first team of curious, self-directed people who like to build and ship.
Build and evolve Superhuman Mail's MCP layer with new tools and standards.
Design and ship agentic workflows and personalization features at scale.
Build evaluation systems that measure quality and catch regressions as AI changes.
Superhuman is an AI productivity platform integrating with over 1 million apps to eliminate busywork. Founded in 2009, it empowers 40 million people and 50,000 organizations with a tight-knit, collaborative culture.
Design and develop scalable backend applications, APIs, and services powering WIN's digital products and AI platforms.
Build agentic AI capabilities, orchestrate LLMs, and automate complex business processes through intelligent workflows.
Integrate internal and external systems using Python, REST APIs, webhooks, and MCP while ensuring reliability and scalability.
WIN is the #1 ranked inspection services company in the United States, transforming the $700 billion U.S. home services industry through cutting-edge technology and AI-driven innovation. Backed by 35 years of excellence, the company combines established leadership with a high-energy, collaborative culture that values ownership, innovation, and professional growth.
Own customer-facing product end to end, from design to deployment, working directly with CEO and CTO.
Design and build high-load systems running on thousands of CPU cores, handling millions of requests daily.
Shape how the company uses AI agents, building tests and evals to ensure agent-produced work is trustworthy.
Zenrows is the web data infrastructure for AI, providing a reliable API to extract structured data from any website, handling rendering, anti-bot defenses, and parsing. Founded in 2021, the company is a small yet efficient team of 20 with a culture of ownership, remote work, and autonomy.
Ship backend features end to end, from a rough customer ask to running in production, often in days rather than weeks.
Build testing systems and harnesses that let agents ship changes safely, and work directly with customers when issues arise.
Utilize agents heavily in daily work, but have deep understanding of system architecture and participate in oncall.
Lumos is the industry's first Autonomous Identity Platform, providing software that surfaces and acts on access risk, with an AI agent named Albus for identity management. The company has grown from 20 to ~130 employees, raised over $65M from top investors, and is recognized as a top startup employer.
Lead the technical evolution of the AI Agent Builder product, combining hands-on Python development with architectural leadership.
Design, build, and maintain scalable, resilient, and observable backend services using Python.
Mentor engineers, review code, and collaborate with Product, Design, and Frontend to deliver reliable AI-powered solutions.
RD Station is a Brazilian software company that provides marketing automation and CRM solutions for digital businesses. It fosters a collaborative, inclusive culture focused on well-being and the combination of human judgment with AI-enabled innovation.
Run the back office platform that manages every customer's packages, entitlements, limits, and billing, along with the tooling Finance, Customer Success, and Support use daily.
Own problems end-to-end, from design to delivery, working with stakeholders across Finance, Customer Success, Support, and Engineering to question requirements and shape architecture.
Champion AI-assisted development, using LLMs and AI tools for planning, code, and docs while owning correctness, observability, and the testing bar.
Ably builds APIs and infrastructure for realtime digital experiences, delivering over 700 billion messages to more than 2 billion devices monthly for teams at HubSpot, Fin, Dialpad, NASCAR, Sportsbet, and General Motors. The company is a remote-first team of around 60 people across the UK and Europe, with an AI-first engineering culture and values centered on openness, ownership, and bold creativity.