Design and implement the core AI agent runtime in Python, including orchestration loops, tool definitions and execution, memory and context management, and failure handling.
Build and maintain evaluation datasets, automated evaluators, LLM-as-judge pipelines, and regression tracking to ensure agent quality and performance.
Develop Python and Node.js microservices for agent hosting and LLM interactions, and build reliable Laravel/PHP APIs for integration.
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 and build backend services that integrate AI capabilities into customer-facing product features.
Develop performant, scalable APIs and backend services that connect AI outputs with SaaS functionality and customer workflows.
Collaborate with product and design teams to create intuitive and valuable AI-driven user experiences.
Jobgether is an AI-powered job matching platform that connects candidates with hiring companies. They use AI tools in the hiring process to review applications and analyze resumes, operating with a diverse international team spanning more than 40 countries.
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.
Operate as a technical leader shaping architecture and quality, mentoring developers, and translating technical decisions into business value.
Design, build, and operate agentic AI systems including LLM services, retrieval pipelines, and multi-agent orchestration with end-to-end accountability.
Lead AI-augmented development practices, evaluating emerging technologies and establishing team-level guardrails for safe and effective AI tool use.
Caseware is a Canadian fintech company that has led the global audit and accounting software industry for over 30 years, serving over 500,000 users across 130 countries. With more than 36,000 professionals listing Caseware as a skill, they foster a culture of independence, innovation, trust, and accountability in a growing global SaaS environment.
Build innovative solutions using AI tools on the AWS platform.
Develop GenAI applications with autonomous agents and LLMs.
Work with backend development, databases, and prompt engineering.
CI&T helps large companies transform AI potential into real business impact with AI Deployment, AI-native execution, and tech-integrated business solutions. With 30 years of experience and 8,000 employees across 25+ countries, they foster a culture of innovation and collaboration.
Turn PRDs, UX mockups, and loosely defined ideas into cohesive working products.
Build responsive, polished full-stack web applications with meaningful LLM-powered features.
Develop agentic workflows and orchestration logic for production systems.
CGS empowers global enterprises through innovative business applications, enterprise learning, and outsourcing. They foster a collaborative and inclusive work environment with opportunities for career growth.
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.
Lead a dedicated cell to own the end-to-end lifecycle of new features using AI agents.
Design, develop, and evolve AI agents and frameworks that automate complex workflows.
Act as the primary technical point of contact for international clients with advanced English.
CI&T helps large enterprises transform AI potential into real business impact with AI deployment, AI-native execution, and tech-integrated solutions. With 30 years of experience and 8,000 employees across more than 25 countries, we collaborate to build impactful solutions with an innovative culture.
Build modular, plug-and-play AI agents that integrate into a broader agentic architecture.
Design and implement memory capabilities, including short-term and long-term memory, summarization, and retrieval-backed context.
Own quality through testing, evaluations, monitoring, and observability.
They build AI-powered applications to transform proposal workflows in the architecture, engineering, and construction industry. They operate in a fast-moving, remote environment with a focus on experimentation and continuous learning.
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.
Design and build production-grade agentic AI systems for marketing and customer experience.
Architect agent workflows with reasoning, tool use, retrieval, and performance monitoring.
Evaluate emerging frameworks like LangGraph and LangChain for enterprise applications.
The company specializes in developing production-grade agentic AI systems for enterprise marketing and customer experience. It fosters a remote-first, collaborative culture focused on innovation and technical excellence.
Build and ship features for North, Cohere's AI workspace platform.
Develop autonomous agents that interact with sensitive enterprise data.
Collaborate with researchers to productionize state-of-the-art models and techniques.
Cohere is a security-first enterprise AI company that builds cutting-edge foundation models and products for business. Headquartered in Toronto with offices globally, the company has a team of researchers, engineers, and designers passionate about their craft.
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.
You will work directly within client environments, translating real operational needs into production-ready AI systems rather than proof-of-concept solutions.
The role spans technical discovery, architecture, software development, deployment, optimization, and ongoing delivery ownership.
You will design and build RAG systems, agentic AI workflows, backend services, and cloud-native architectures that operate at enterprise scale.
Jobgether uses an AI-powered matching process to connect candidates with roles at partner companies. They operate remotely and focus on efficient, fair hiring through automated shortlisting, with a commitment to data privacy and human oversight in final decisions.
Build and evolve production AI agents on foundation models using AWS Bedrock.
Develop evaluation pipelines and production observability for LLM systems.
Apply context engineering and agent architecture fundamentals to inform orchestration framework decisions.
Smart Working connects exceptional professionals with outstanding global teams through long-term remote opportunities. They are a high-rated workplace on Glassdoor that values integrity, excellence, and professional growth.
Architect and build production-grade internal AI tools and shared platform capabilities used by teams across Fullscript.
Lead the technical design and delivery of complex AI integrations, including MCP-based tool use, agentic workflows, and model gateways.
Independently take ambiguous business problems from technical discovery through implementation, deployment, measurement, and ongoing operation.
Fullscript is a health technology company that helps practitioners access products and deliver better care. With over 125,000 practitioners and 10 million patients, we build tools that make care smarter and more human, fostering a culture of growth, teamwork, and impact.
Delivering product features with AI coding agents as your primary implementation loop, writing specs and context-rich tasks that carry architecture and team standards.
Reviewing and verifying agent-generated code with the same rigor you would apply to a colleague's, catching errors before production.
Taking full ownership of every feature end-to-end: clarifying requirements, owning quality and test coverage, and monitoring post-release.
airSlate is a global SaaS technology company that develops no-code workflow automation, electronic signature, and document management solutions. The company serves over hundreds of millions of users and more than one million customers worldwide, with a team across 20 countries and a culture focused on growth and innovation.
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.
Architect and ship AI-powered features that change how service businesses operate, creating net-new capabilities.
Build and maintain large-scale systems processing billions in payments and serving 120,000+ businesses with reliability.
Own your work end to end from technical design through production, with full accountability for performance.
Genius AI builds AI-powered products that handle admin work for local businesses, automating booking, marketing, client management, and finances. The company has saved businesses over 106 million admin hours and facilitated more than 624 million client touch points, fostering a culture of ownership and AI-first collaboration.
Build and improve LLM-powered systems to navigate complex construction tendering workflows.
Own features end-to-end from model/agent through API to TypeScript front-end.
Collaborate across teams to translate business problems into shipped AI features and maintain production systems.
Cosuno is a fast-growing tech startup that revolutionizes construction through a digital platform for tenders and procurement. With a small, well-funded team, we foster a calm, collaborative, and productive engineering culture.