Build and scale low-latency, high-throughput back-end components for a programmatic advertising platform processing ad requests in milliseconds.
Develop proprietary AI agents for media buying and distribution, collaborating with data scientists on content tagging and enrichment.
Integrate with third-party AdTech platforms and APIs including OpenRTB, DSPs, and SSPs, while guiding engineers through code reviews and architecture decisions.
Smart Working connects skilled professionals with outstanding global teams for full-time, long-term remote roles, breaking down geographic barriers. It is a remote-first company and one of the highest-rated workplaces on Glassdoor, with a culture that values growth, well-being, and community.
Develop and maintain high-performance Back-end microservices and AI-enabled services using TypeScript and Node.js.
Design, implement, and integrate AI and LLM-powered platform features using AWS serverless technologies.
Collaborate with cross-functional teams on API-first architecture and contribute to continuous improvement initiatives.
Sigma Software is a technology company specializing in building intelligent, scalable platforms. They value engineering excellence, innovation, and collaboration, working with globally recognized publishers.
You will own the programmatic engineering domain end-to-end, including architecture, technical roadmap, and engineering priorities.
You will lead technical strategy across client-side and server-side auction infrastructure, video, consent management, and supply-chain integrity.
You will drive performance and scalability across the bid path, ensuring reliability and high-quality publisher monetization.
The company operates a sophisticated sell-side advertising technology stack, processing billions of bidding events across thousands of publisher websites. It has a compact engineering team of around ten engineers and fosters a close-knit, collaborative culture focused on ownership, innovation, transparency, and measurable impact.
Define and drive technical strategy for the advertising platform, establishing an architecture that evolves with product and business needs.
Lead architecture and system design for complex cross-functional initiatives spanning advertising, video, backend services, clients, and data.
Mentor engineers, raise the technical bar through design reviews, and build technical roadmaps while staying current on ad tech.
GameChanger builds the first and best place for youth sports experiences, helping families elevate the next generation through sports. It is a remote-first, dynamic tech company based in New York City with a culture focused on solving big challenges in youth sports.
End-to-end ownership across frontend, backend, and infrastructure as the first in-house engineer for an AI-native PSA platform.
Harden, scale, and evolve the existing platform while shipping customer-facing improvements.
Work solo as a senior/staff-level generalist with high ambiguity and close founder collaboration.
Smart Working connects skilled professionals with outstanding global teams for full-time, long-term remote roles. They are a high-rated workplace on Glassdoor with a remote-first culture that values growth and well-being.
Design and build platform components like queueing pipelines, storage layers, caching, and rate limiters for systems handling billions of events.
Own components end-to-end, from architecture and design to production health, on Node.js microservices and GCP infrastructure.
Debug cross-layer incidents, write clear design docs, and drive fixes for scalability issues like cache stampedes and hot shards.
HighLevel is an AI-powered business operating system for agencies, entrepreneurs, and SMBs to build, automate, and scale. With over 2,000 team members across 10+ countries, it operates as a global, remote-first organization focused on speed, ownership, and community-driven growth.
Prototype and evaluate AI applications for data and marketing workflows.
Develop production data agents and backend services with Node.js and TypeScript.
Design AI-assisted experiences and choose AI architectures for real user workflows.
The company builds AI capabilities for B2B marketing and data workflows, helping users turn customer data into useful insights and actions. It operates like a small, high-velocity startup team focused on shipping production-ready AI products.
Lead end-to-end development of product features from design through deployment and ongoing support.
Architect and build scalable backend services and APIs using TypeScript/Node.js.
Collaborate cross-functionally with Product, Design, CX, and Integrations to deliver customer-facing functionality.
Meadow is a modern payments platform for higher education that simplifies the entire student financial experience. They are a highly ambitious, talented team transforming the $600 billion higher education payments industry.
Build and operate backend systems serving AI-powered insurance workflows in production.
Design and implement AI orchestration layers connecting models, APIs, workflows, and business logic.
Optimize latency, throughput, and cost across AI services (caching, batching, streaming, routing).
We are a platform that leverages AI for decisioning, automation, and orchestration. We are a global engineering team working across multiple countries to build reliable, scalable AI systems.
Build and operate core platform components like queues, storage layers, caching, schedulers, and rate limiters.
Own architecture, implementation, monitoring, and production reliability for high-throughput distributed systems.
Work with Node.js/TypeScript, Go, GCP, Kubernetes, Redis, MongoDB, and other large-scale data technologies.
The hiring company builds and operates platform infrastructure for large-scale CRM, automation, and communication systems, processing billions of events and messages monthly. Its engineering culture emphasizes ownership, collaboration, and high standards for reliability and production quality.
Own and evolve distributed systems architecture for platform services, ensuring reliability and performance at enterprise scale.
Drive cost optimization, observability, and incident management practices across cloud infrastructure.
Hire, mentor, and grow engineers while partnering cross-functionally to align platform capabilities with organizational needs.
HighLevel is an AI-powered business operating system that helps agencies, entrepreneurs and SMBs build, automate and scale their operations. With over 2,000 team members across 10+ countries, HighLevel operates as a global, remote-first organization built for speed and ownership.
Deliver end-to-end functionality across a TypeScript/React front end and a Golang backend.
Build products for partner integrations, including wallet systems and game systems in a certified environment.
Design and build APIs (GraphQL, gRPC, REST) and shape the architecture of a young platform on AWS.
Oddin builds products that partners integrate into their own platforms, focusing on AI-first development where 80-90% of code is generated with AI. They are a young startup with a collaborative, autonomous product team and no strict processes.
Design, build, and operate production-grade agentic systems for developers.
Develop core agent infrastructure including orchestration, tool execution, and evaluation.
Own projects end to end from opportunity identification to launch and iteration.
Our partner is a fast-growing Series C technology company that builds AI-powered developer tools. The organization is fully remote with an autonomous culture focused on engineering ownership and collaboration.
Build tooling for capturing and processing data from agents and humans at significant scale.
Solve hard problems around compute, orchestration, scaling, security, and reliability.
Help develop approaches for training, benchmarking, and evaluating AI agents.
Prolific builds human data infrastructure for AI development, connecting researchers with a global pool of participants to collect high-quality, ethically sourced behavioral data. They are a mission-driven company at the forefront of AI innovation, with a remote culture and a focus on impactful work.
Architect production backend services and data models for financial workflows.
Build full-stack features and AI agent-powered credit risk operations.
Use modern AI-assisted development tools and contribute to engineering standards.
Gynger provides embedded financing and cash flow management for B2B tech vendors, using AI agents for credit risk. Founded in 2021 and based in NYC, the Series A startup has raised $20M and is a Built In Best Place to Work.