Design and develop scalable backend services (Python, FastAPI) powering the AI platform.
Build and optimize RAG pipelines, AI agent systems, and orchestration of LLM models in production.
Manage cloud infrastructure (AWS/Azure) including multi-tenant isolation and serverless functions.
A dynamic startup building a modern B2B AI platform powered by autonomous agents. The company focuses on eliminating tedious analytics for enterprise teams through flexible architecture and advanced workflows.
Develop secure, reliable APIs and integrations for a global workforce management SaaS platform.
Collaborate cross-functionally with Product, Design, and Engineering teams throughout the full delivery lifecycle.
Use AI-assisted coding tools while maintaining strong technical judgment and ownership over solutions.
Jobgether uses an AI-powered matching process to connect candidates with hiring companies globally. They are a platform that processes job applications and shares top-fitting candidates with employers, operating with a remote-first team across Europe and Asia.
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.
Design, build, and operate production-grade reusable AI capabilities and services adopted by multiple engineering and product teams.
Build and evolve LLM gateways, proxies, model routing, and agentic workflows such as LangGraph and MCP.
Define standards for production AI adoption including automated testing, versioning, and incident response.
Coderio designs and delivers scalable digital solutions for global companies, combining technical expertise with a product mindset to lead complex software initiatives. They work with international clients, value autonomy and clear communication, and build long-term partnerships through technical excellence.
Design, build, and maintain backend systems and integrations for AI-powered products and workflows.
Develop MCP connectors, REST APIs, and asynchronous processing systems to connect AI agents with internal and external services.
Ensure production reliability, scalability, and maintainability of backend services supporting AI agent workflows.
The client is building a managed healthcare model that combines proactive care with technology to support care teams. They are a growing startup developing AI infrastructure and seeking a senior engineer to build backend systems for production AI workflows.
Architect scalable Python microservices and AI integrations on AWS.
Drive system health, code quality, and observability standards.
Mentor junior engineers and collaborate with US-based client teams.
CodeRoad provides end-to-end software development services, helping businesses scale with ideal infrastructure solutions. Our nearshore team culture empowers engineers to take ownership and grow continuously.
Develop, ship, and maintain secure, well-tested, and performant Flow Registry features across the Duo Workflow Service and the GitLab monolith backend.
Collaborate with Product Management, UX, and engineering specialists to refine requirements and deliver iterative product improvements.
Design and implement GraphQL and REST APIs, related backend logic, and improve automated testing to strengthen quality and reliability.
GitLab is the intelligent orchestration platform for DevSecOps, enabling organizations to increase developer productivity and accelerate digital transformation. With over 50 million registered users and more than 50% of the Fortune 100 trusting the platform, GitLab fosters a high-performance culture driven by values and continuous knowledge exchange.
Drive backend development for AI workflows using Python and FastAPI as part of a collaborative team.
Productionize LLM integrations with systems for Bedrock usage, quotas, retries, and cost controls.
Build for scale by optimizing async job orchestration, performance, and data-layer for petabyte-scale enterprise data.
Smarsh empowers organizations to manage risk and uncover intelligence in digital communications. With over 6500 clients in regulated industries and consistent recognition from Gartner and Forrester, Smarsh has been listed on the Inc. 5000 as one of America's fastest-growing companies since 2008.
Design and build secure, performant external agent integrations across the GitLab monolith backend, owning complex features end-to-end.
Collaborate with Product Management, UX, frontend, backend, and AI specialists to refine requirements and deliver iterative improvements.
Design, implement, and review GraphQL and REST APIs, enhance automated testing, and participate in Tier 2 on-call rotations for production reliability.
GitLab is the intelligent orchestration platform for DevSecOps, enabling organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. With more than 50 million registered users and trust from over 50% of the Fortune 100, GitLab fosters a high-performance, remote-first culture driven by values, AI integration, and continuous knowledge exchange.
Design, develop, deploy, and operate scalable services supporting high-volume digital marketplace workflows and customer-facing experiences.
Build APIs and backend services within a modern, cloud-native and AI-enabled technology environment.
Partner with Product, Data, Infrastructure, and SRE teams to deliver reliable platform capabilities.
Our partner is an AI-first engineering company that builds and operates high-value digital marketplace systems at significant scale. They are a modern organization with a global, collaborative culture and offer competitive compensation and opportunities for professional advancement.
Design and ship moderate to complex backend features with minimal guidance, driving technical direction.
Advocate for product quality, security, and performance, defining backend standards for style, maintainability, and operational readiness.
Mentor associate and intermediate engineers, remove technical blockers, and use AI in production engineering to improve outcomes.
GitLab is the intelligent orchestration platform for DevSecOps, enabling organizations to increase developer productivity and accelerate digital transformation. With over 50 million registered users and trusted by more than 50% of the Fortune 100, GitLab fosters a high-performance culture driven by values and continuous knowledge exchange.
Design and implement RESTful APIs with OpenAPI specs and SQLAlchemy for the first AI-native hardware development platform.
Develop ingestion pipelines using Celery and Redis to extract structured engineering artifacts from unstructured inputs.
Build and extend agentic AI workflows using LangChain and LangGraph for proactive coordination and risk detection.
Re:Build operates an advanced, end-to-end manufacturing platform partnering with industrial companies to take products from concept to production. They are a growing company focused on revitalizing America's manufacturing base and creating meaningful jobs across the country.
Design and build reusable platform capabilities for LLM applications, AI agents, RAG, and tool calling.
Develop scalable data pipelines and secure integrations connecting AI applications to enterprise systems.
Establish technical standards for AI deployment, observability, evaluation, and lifecycle management.
Jobgether uses AI-powered matching to connect candidates with roles. They operate as a global, fully distributed international team with colleagues across multiple countries, offering a collaborative and inclusive environment.
Build and ship agentic features for thousands of developers, including orchestration, tool execution, and context management.
Design and implement the foundation for advanced AI agents that handle billions of dollars in purchase volume.
Collaborate with product and engineering teams to scope, prioritize, and drive rollout of new features.
RevenueCat provides infrastructure and tools for app businesses to manage subscriptions and monetization. They are a remote-first team of 150+ people across 25+ countries, guided by values like Customer Obsession, Always Be Shipping, Own It, and Balance.
Participate in research and development of AI-driven documentation solutions, owning features from concept to deployment.
Develop and maintain backend services and REST APIs using Python, FastAPI, and integrate AI capabilities with LLM orchestration frameworks.
Collaborate with cross-functional teams in Agile environment, contributing to frontend features with React and TypeScript, and ensuring system reliability and scalability.
Sigma Software is a technology company that develops AI-powered solutions for global customers, focusing on intelligent documentation platforms for the telecommunications domain. The company fosters a collaborative, flexible, and fully remote work environment with a focus on modern engineering practices.
Build AI-based features into a platform serving millions of users, working directly with the platform architect.
Stand up core AI infrastructure, including LLM serving, retrieval-augmented generation, and evaluation systems.
Shape engineering practices and own services end to end, from schema to deploy to on-call.
TMTG is a social media company dedicated to providing users an engaging and censorship-free experience. It is the fastest-growing social media platform in the country, championing free speech and serving millions of users in a fast-paced, rapidly growing environment.
Develop and maintain production backend services in Python, including REST APIs and data models.
Take end-to-end responsibility for the services you release into production, including reliability and operational performance.
Work with SDK engineers to align API contracts and technical requirements across multiple products.
The company develops mobile games and operates a shared platform for analytics, social features, and LiveOps. The remote-first team emphasizes autonomy, collaboration, and shared ownership.
Design, build, and optimize internal platforms, automation workflows, and business system integrations.
Develop automation scripts, internal tools, and API-driven integrations using modern languages.
Implement security controls, identity management, and compliance processes across business systems.
This company is a globally distributed organization that builds and optimizes internal technology ecosystems. They have a collaborative international team and an engineering-driven, remote-first culture.
Design, develop, and maintain scalable backend services, microservices, and RESTful APIs.
Deliver features from initial design through deployment, including testing, code reviews, and production releases.
Mentor junior engineers and contribute to architectural decisions.
Partner company develops modern software products with a focus on building scalable, high-performance backend solutions. Its fully remote engineering team values ownership, technical excellence, and continuous improvement.