Collaborate directly with customers as an embedded technical expert, designing and deploying agentic AI solutions.
Quickly understand new industries, data, and systems to identify high-value AI and agentic workflows.
Build proof-of-concepts and production solutions using MCPs, agent frameworks, and tool-using LLMs.
We are a fast-growing company that helps customers turn AI ambitions into real production outcomes. We are fully remote with a 32-hour workweek and a collaborative, trust-based culture.
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.
Design, develop, and maintain MLOps pipelines on AWS to automate and operationalize machine learning models.
Collaborate with Data Scientists to deploy, monitor, and scale ML solutions in production environments.
Architect cloud-based systems, integrate APIs, and build web applications and LLM-powered agents.
The company is a partner of Jobgether, specializing in cloud and AI solutions. It fosters a collaborative, innovation-driven environment with a focus on professional development and employee well-being.
Develop deep understanding of customer problems and map them to Cohere solutions as a trusted technical advisor.
Lead design and deployment of customer pilots, owning the technical narrative from discovery to business case.
Collaborate with Product and Engineering teams and partners to scale solutions and gather customer feedback.
Cohere is a leading security-first enterprise AI company building cutting-edge foundation AI models and products for real-world business problems. It is a global team of researchers, engineers, and designers headquartered in Toronto with offices worldwide, committed to driving AI adoption.
Design, build, and ship AI-powered features end-to-end, from prototype to production.
Work hands-on with LLMs, embeddings, RAG, and related tooling to solve real product problems.
Own architecture and technical decisions, balancing quality, cost, and latency across the stack.
Usersnap builds AI-driven capabilities into its product, from automated setup to intelligent surveys and self-generating reporting. It is part of saas.group, a fully remote portfolio of 25 B2B SaaS brands with nearly 380 colleagues in 50+ countries and a high-trust culture.
Embed across teams to identify where AI can remove operational friction and build internal tools end-to-end.
Drive adoption through workshops, pairing, and office hours, measuring success by active usage.
Partner with Security to establish guardrails, access scoping, and audit trails for AI solutions.
LocalStack is a local cloud development platform that provides secure local sandboxes simulating cloud environments for developers and AI agents. They are a Series A startup with $25M funding, globally distributed teams across 25 countries, and a culture focused on ownership, openness, and excellence.
Lead in-depth technical discovery with engineering teams and customer stakeholders to understand AI inference requirements.
Translate customer objectives into production-ready architectures and define PoC success criteria.
Identify recurring workload patterns and communicate insights to Product and Engineering for platform evolution.
They are a partner company focused on AI infrastructure and performance-sensitive AI inference workloads. They have an international, engineering-led team solving complex challenges at the forefront of AI.
Act as a trusted technical advisor and architect AI infrastructure solutions using Mirantis k0rdent for enterprise customers.
Lead technical discovery, demos, and proof-of-concept engagements to validate and accelerate adoption.
Collaborate with internal teams to influence roadmap and create reusable technical assets.
Mirantis is the Kubernetes-native AI infrastructure company, helping organizations build and operate scalable, secure, and sovereign infrastructure for modern AI and data-intensive applications. They are a Silicon Valley leader with a collaborative, high-energy culture, serving Fortune 500 and Global 2000 customers.
Design, build, and ship production services, APIs, and user-facing interfaces.
Build and operate production AI systems including RAG, fine-tuning, and inference optimization.
Architect AWS/GCP environments with Kubernetes and Terraform and control cloud/AI costs.
Motive empowers people who run physical operations with tools to make their work safer, more productive, and more profitable. Serving nearly 100,000 customers across industries, the company values a diverse and inclusive workplace.
Design and deploy enterprise-grade AI solutions, autonomous agents, and multi-agent systems.
Build production-ready AI capabilities using LLMs, LangChain, AutoGen, CrewAI, and MCP.
Collaborate across squads to ensure consistent architectural standards and MLOps/AIOps practices.
Inetum is a European leader in digital services, helping businesses and public sector organizations achieve digital transformation. With 26,000 consultants and specialists across 19 countries, they emphasize proximity, flexibility, and responsibility, generating €2.2 billion in revenue in 2025.
Contribute to architectural design across cloud, data, and AI/ML systems.
Build cloud-native solutions including microservices, serverless, and containerized workloads.
Implement infrastructure as code, CI/CD pipelines, and data architectures.
Robots & Pencils is an applied AI engineering firm that designs and ships AI co-workers for enterprise operations. Founded in 2009, they have delivery centers in Canada, the US, Eastern Europe, and Latin America, with teams averaging 15+ years of experience and a culture of speed and craft.
Build and operate the Kubernetes platform supporting AI test and evaluation frameworks.
Design infrastructure-as-code, GitOps workflows, and automated deployment pipelines.
Own platform reliability, observability, capacity planning, and operational readiness.
OpenTeams helps enterprises and governments build AI they control, govern, and evolve themselves. Founded by the creator of NumPy and SciPy, the company is built by people with deep roots across the open-source ecosystem and maintains a remote-first culture.
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.
Jobgether is a platform that uses AI-powered matching to connect candidates with job opportunities, partnering with companies to manage applications and next steps. They emphasize a fast-growing, collaborative environment with a focus on professional growth and cutting-edge technology.
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.
Build and contribute to RAG system components under senior guidance, with growing autonomy.
Write production code across the stack and integrate AI components into backend services and RESTful APIs.
Support deployment to AWS with CI/CD, and contribute to evaluation, documentation, and architectural decisions.
Provectus is an AWS Premier Partner and Anthropic Strategic Partner that helps enterprises implement AI solutions using Claude and agentic systems. They have a global presence with offices in North America, LATAM, and EMEA, and maintain a remote-friendly culture with a growing team of AI engineers.
Develop, build, test and deploy custom software solutions using Smartsheet and third-party APIs.
Design and build AI-powered workflows and automations leveraging LLMs and AI agents.
Lead technical consulting engagements, converting business requirements into Smartsheet solutions.
Smartsheet empowers teams to manage work and scale solutions with no-code tools, and now unites human teams with AI agents to automate tasks and uncover insights. The company has been in business for over 20 years, fosters a culture of inclusivity and impact, and values diverse perspectives and nontraditional paths.
Build and scale massive distributed compute and storage systems for frontier model training.
Architect multi-cluster orchestration layers to optimize workload placement across diverse hardware and regions.
Design future-proof storage and metadata systems to handle exabyte-scale growth.
Mistral provides full-stack AI solutions from frontier models to developer tools, applications, and compute. We are a dynamic, collaborative team passionate about AI, with a diverse workforce distributed across Europe, North America, Asia, and the Middle East.
Build and deploy data pipelines and generative AI solutions on AWS, including ETL/ELT workflows and RAG systems.
Work directly with clients to deliver end-to-end data and AI solutions that are secure, scalable, and production-ready.
Collaborate in agile environments and participate in code reviews to ensure high-quality engineering standards.
Innovative Solutions is a technology consulting firm that helps clients build and deploy modern data and AI solutions on AWS. The company values collaboration and is committed to delivering production-ready solutions.
Lead technical evaluations and proofs of concept for an enterprise AI coding platform in real customer environments.
Engage directly with CTOs, VPs of Engineering, and senior developers on AI agent architecture and integration.
Manage enterprise security and deployment reviews, troubleshoot integration issues, and feed customer insights into product.
The company is an enterprise AI coding platform provider helping engineering organizations accelerate development with AI agents and LLM infrastructure. It operates as a remote-first global team with a fast-paced, innovative culture focused on collaboration and rapid product iteration.
Design, build, and deploy production ML and LLM-based systems for enterprise clients.
Own technical delivery end-to-end from architecture to deployment and iteration.
Mentor and support other ML engineers through code reviews and technical guidance.
TensorOps is a boutique AI consultancy that designs and ships production-grade AI systems for enterprise clients. The company has shipped AI systems impacting 200M+ end users daily, partnered with 11 unicorns, and operates fully remotely with a supportive, fast-growing culture.