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.
Ship AI to production by building tool-using LLM agents for grant discovery and drafting, with robust evaluation and observability.
Build trustworthy backends with high-quality, tested code, data pipelines, and reliability practices like alerts and incident response.
Collaborate with Product, Design, and GTM to scope features, run experiments, and raise engineering standards through clear code and reviews.
Instrumentl is a profitable, hypergrowth, YC-backed SaaS platform building the operating system for grant-funded organizations. More than 5,500 nonprofits use Instrumentl to discover, track, and win grant funding, and the company has grown over 40% year over year.
Partner with enterprise clients to understand challenges and design robust technical solutions, from APIs to AI workflows.
Own production deployments ensuring reliability, observability, and continuous improvement of delivered systems.
Build AI-enabled systems using LLMs and agentic workflows while collaborating across Product, Engineering, and Sales teams.
Our partner is a company focused on deploying AI and enterprise integrations at scale. They operate in a remote-first, high-trust environment with a focus on practical AI deployment.
Design and scale LLM-based systems processing billions of unstructured data points daily for insurers.
Own end-to-end outcomes, set technical direction, and solve cutting-edge challenges under ambiguity.
Work in a small team where individual contributions have outsized impact on technology and business.
Kalepa is building professional-grade AI systems for the insurance industry, augmenting professionals and automating decision-making across workflows. Backed by IA Ventures and Inspired Capital, the team brings experience from Facebook, Palantir, Google, and other top companies, with a culture of hustle, meritocracy, and transparency.
Design, develop, and deploy production-grade AI-powered backend systems integrating LLMs and traditional ML models.
Integrate and optimize vector databases for RAG pipelines, and write clean, well-structured Python code.
Debug complex cross-layer issues and collaborate with product and engineering teams to deliver cohesive solutions.
We are a fast-growing product company integrating cutting-edge AI capabilities into our core offering to deliver exceptional value to customers. Our small, fast-moving team works on practical, real-world AI applications with high autonomy.
Design, build, and maintain AI-powered features like LLM integrations and RAG pipelines.
Contribute to tooling for AI reliability, including observability and monitoring.
Prototype solutions quickly and work with peers to harden them for production.
Homeward creates financial products that remove uncertainty from homebuying. As a remote-first real estate startup with about 200 employees, we value the Golden Rule, One Team One Dream, and Calm Focus.
Design and develop scalable backend services and APIs for the Customer Data Platform and AI ecosystem.
Build secure, high-performance service layers on top of PostgreSQL, Snowflake, and other enterprise data platforms.
Partner with Data Engineering and ML Ops teams to support model serving, data products, and operational data systems.
National Debt Relief is a leading debt settlement organization that helps consumers overcome overwhelming debt. They have helped over 450,000 people settle over $10 billion of debt and foster a team-oriented environment with growth opportunities and employee mentorship programs.
Build and operate backend systems that serve 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 through caching, batching, streaming, and routing.
BJAK is Southeast Asia's largest digital insurance platform, building AI-powered products that simplify insurance and financial services for millions of users. It operates with a global engineering team that values high ownership, technical excellence, and modern practices.
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.
Build core systems, advanced backend products, and engineering culture for scaling enterprise automation and workflows.
Own complex production systems, optimize internal tooling, and design AI-native engineering functions.
Work directly with leadership on high-leverage problems like data processing, search, and AI-assisted operations.
Frontier helps fast-growing companies build full-time, cross-functional teams abroad by hiring top talent. It is a subsidiary of Fresh Prints, a New York-based, fully remote company with around 150 employees, and values work smarter culture and long-term ownership.
Design and deliver scalable backend systems, APIs, and data solutions using C# .NET, Python, SQL, AWS, and Snowflake.
Develop AI-powered features with LLM technologies including RAG, semantic search, and function calling.
Optimize PostgreSQL databases and establish CI/CD practices for reliable deployment.
Jobgether uses AI-powered matching to review applications and share top-fitting candidates with hiring companies. The platform focuses on efficient, objective candidate evaluation.
Design, develop, and deploy production-grade AI-powered backend systems.
Integrate large language models and machine learning models into scalable architectures.
Optimize system performance and implement strong testing practices.
Our partner company is building advanced AI-powered systems to create meaningful customer value. The team operates in a high-autonomy, fast-moving environment focused on production-ready AI solutions.
Develop and integrate AI-powered systems to support EdReports' curriculum review process, including data pipelines, retrieval systems, and prompt workflows.
Build internal tools and interfaces for users to interact with AI outputs, ensuring accessibility and security.
Collaborate with product managers and subject matter experts to translate user needs into scalable technical solutions.
EdReports.org is a nonprofit that publishes free, online, evidence-rich reviews of instructional materials to improve curriculum quality. They have a remote-first culture and are committed to diversity, equity, and inclusion.
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 using caching, batching, streaming, and routing.
Next Step Systems is an IT recruiting and staffing company that helps businesses hire technology professionals. They operate globally, connecting talent with opportunities in various tech roles.
Set the technical direction for backend platform architecture, owning decisions spanning integrations, data, messaging, and orchestration.
Drive cross-functional initiatives with AI Engineering, Product, and Integrations leadership, shaping platform strategy and roadmap.
Define org-wide engineering standards for backend service design, data modeling, and operational excellence while mentoring engineers across the organization.
Conversica builds AI-powered solutions that help businesses engage customers more effectively. You'll join a small, experienced platform engineering team in a remote-first company.
Lead the design and development of production AI systems powering insurance workflow automation.
Architect AI orchestration layers connecting LLMs, backend services, and business workflows.
Own end-to-end AI system design including inference pipelines, routing, caching, and fallback strategies.
BJAK is Southeast Asia's largest digital insurance platform, building AI-powered products that simplify insurance and financial services for millions of users. They use AI and automation to transform real-world insurance workflows and foster a high-ownership culture with small, empowered teams.
Own problems end-to-end: drive requirements with stakeholders, leverage AI to build, and verify outcomes.
Write production-quality code across Python, Django, AWS, React, and PostgreSQL.
Iterate until the metric moves, owning adoption, monitoring, and support.
Counterpart is an insurtech platform reimagining management and professional liability for the modern workplace. We are a fully remote company backed by A-rated carriers, with a culture focused on autonomy, AI-driven development, and inclusive collaboration.