Transform an existing AI agent product into scalable, reliable infrastructure.
Design and operate the core agent runtime, including orchestration, memory, and multi-agent workflows.
Work directly with the founder to set architecture, engineering standards, and development culture.
An early-stage AI infrastructure startup transforming a working AI agent product into scalable infrastructure. As the first engineering hire, you'll work directly with the founder to shape engineering culture and standards from the ground up.
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.
Lead customer transitions from proof of concept to production, owning the customer journey and ensuring AI workloads run reliably and scale.
Optimize AI workload performance and reliability by analyzing architectures, improving inference efficiency, and troubleshooting complex issues.
Serve as a trusted technical partner, coordinating production incidents and driving continuous improvements across customer deployments.
Token Factory is an AI infrastructure company that helps businesses bring advanced AI applications from experimentation to reliable production at scale. Its culture is innovative, collaborative, and fast-moving, with a focus on autonomy and meaningful technical impact.
Develop the architecture and infrastructure needed to scale the product to a large user base.
Build and operate the agent runtime, including orchestration, memory, verification, and supporting systems.
Take projects end to end across backend, infrastructure, frontend, and AI agents.
They are an early-stage AI infrastructure startup building scalable infrastructure for AI-powered service businesses. As the first engineer, you'll work directly with the founder in a fast-moving, ownership-driven culture.
Identify complex operational challenges and define success criteria for AI solutions.
Prototype with real-world data and AI tools, then partner with engineering to scale.
Build decision engines, measurement frameworks, and closed-loop attribution systems.
They are an AI-focused organization transforming marketing services with a proprietary AI platform. They are a small, collaborative team where individual contributions directly shape product outcomes.
Architect and implement production-ready generative AI and LLM-based solutions within the product suite
Design and develop agentic systems, RAG pipelines, and evaluation workflows to automate tasks and improve reliability
Collaborate with product, design, and engineering teams to turn complex AI concepts into user-facing features
JUPUS is a fast-growing legal tech company in Europe, building the JUPUS platform to improve productivity for law firms. The culture is flat, fully remote, and fast-moving, with direct access to engineering leadership and a focus on practical AI systems.
Lead the engineering foundation behind reliable, measurable, and scalable AI-powered features.
Build evaluation frameworks, observability tooling, and diagnostic infrastructure for AI agents in production.
Combine hands-on software engineering with technical leadership and people management.
The company builds AI-powered products with a focus on reliability, scalability, and evaluation infrastructure. It operates as a fully remote, globally distributed team with an ownership-oriented culture.
Design, develop, and maintain AI-powered software solutions across the full development lifecycle.
Work with backend stacks like Python, Node.js, .NET, and Java, plus modern frontend frameworks such as React or Angular.
Build and integrate AI agents, RAG pipelines, and LLM-driven products into production environments.
Cresteo is a nearshore tech services company on a mission to be the world leader in people-first and honest software development. Our small, high-trust team values transparency, profit-sharing, and fearless innovation while working with US-based clients and international teams.
Lead the strategy and direction of a high-impact Machine Learning and AI function, shaping innovation and production capabilities.
Build and develop a high-performing ML organization while fostering a culture of accountability, inclusion, and technical excellence.
Partner across Engineering, Product, and Research to ensure responsible, secure, and production-ready AI systems involving sensitive data.
The company is a mission-driven technology organization applying advanced machine learning and AI to complex challenges with meaningful social impact, including keeping children safe. It fosters a remote-first, collaborative, and inclusive culture with multidisciplinary teams.
Develop and deploy cutting-edge AI/ML solutions to enhance the platform and improve student learning experiences.
Design, develop, and optimize LLM-powered agentic systems and APIs for real product use cases.
Collaborate with senior engineers and contribute to evaluation frameworks and MLOps pipelines.
Interview Kickstart specializes in interview preparation and career transitions into high-demand tech fields like AI, ML, and Data Science. Over 17,000 tech professionals have been guided by current and former hiring managers to land coveted positions at companies like Google and Amazon.
Design, build, and ship production AI solutions on Microsoft 365 Copilot, Copilot Studio, and Azure AI Foundry.
Build RAG pipelines, custom agents, and enterprise integrations with Python or C# and the Azure data stack.
Partner with client stakeholders to gather requirements, evaluate solution quality, and support adoption.
Collectiv is a leading boutique consulting and strategy firm specializing in Analytics, Planning, and AI with Power BI and the Microsoft data stack. It offers a fully remote work environment with unlimited time off, 100% covered health insurance, and a clear growth trajectory.
Lead and execute the AI roadmap across voice, chat, and document products.
Design and build production-ready generative AI systems, including agentic workflows and RAG.
Mentor and grow the AI team while establishing evaluation and observability best practices.
JUPUS is a legal tech company building AI products for law firms, including a website chatbot, an AI phone assistant, and document analysis grounded in German court rulings. It is one of the fastest-growing legal tech companies in Europe with a flat hierarchy and an execution-focused culture.
Develop, configure, deploy, and optimize AI agents using Cresta's AI platform and tools.
Build AI agent integrations with external systems such as APIs, databases, and CRMs to ensure seamless workflow integration.
Collaborate with customers and internal stakeholders to gather technical requirements and translate business needs into AI agent solutions.
Cresta builds a unified AI platform that combines conversational AI agents, real-time human agent augmentation, and conversation intelligence to drive revenue and efficiency for customer experience channels. Born from Stanford AI Lab, the company has raised over $270 million from top investors and is led by AI industry veterans.
Partner with Account Executives to drive the technical side of enterprise sales.
Design and deliver technical demonstrations of AI solutions and architect integrations.
Build enablement materials and self-service resources to scale adoption.
They are an AI-first company focused on helping enterprise customers implement cutting-edge AI solutions. They maintain a remote-first, location-flexible culture with a strong emphasis on talent and continuous learning.
Build and deploy AI workflows and skills using AIVA
Integrate AI solutions with APIs, databases and enterprise systems
Rapidly build, test, demonstrate and refine solutions with clients
Williams Lea is the leading global provider of tech-enabled business and marketing services helping clients manage and transform processes. The company serves clients in 20 countries across four continents and has 15,000 employees worldwide.
Design, prototype, and build production-ready agentic workflows and LLM orchestration systems.
Move AI prototypes into scalable, low-latency microservices on Azure, ensuring production-grade integration.
Act as technical mentor for agent-focused engineering squads, driving AI quality and operational frameworks.
Shift Technology delivers AI agents that transform insurers' most critical work. With employees from over 50 countries, the company's culture is built on innovation, trust, and a drive to transform the insurance industry.
Design end-to-end architectures for agentic AI solutions, including orchestration, runtime, and integrations.
Collaborate with engineering and platform teams to implement reusable patterns and production-ready designs.
Evaluate tradeoffs across scalability, reliability, security, and cost, and support release and operations.
RealPage develops software for the real estate industry, including property management and AI-enabled solutions. The company emphasizes innovation, collaboration, and professional growth in its culture.
Build evaluations to measure and improve AI reasoning in complex, high-stakes decisions.
Collaborate with engineers, product, and domain experts to turn observed failures into testable improvements.
Own the quality of shipped systems, from code reviews to monitoring and integration.
Elicit builds AI systems that help research and business teams make evidence-based decisions on high-stakes questions. They are a remote-friendly, collaborative team that values rigorous thinking, experimentation, and in-person retreats.
Own product features end-to-end, from problem statement to production.
Write specs with AI agents and critically review their code in complex systems.
Deliver reliable features handling financial transactions and evolve AI-first development.
Social Discovery Group creates social entertainment platforms that connect people online across cultures, addressing loneliness and disconnection. The company's international remote team works from everywhere, and it earned 'Great Place to Work' recognition in 2024-2025.
Design and build autonomous AI agents using modern agentic frameworks to analyze infrastructure and make intelligent decisions.
Develop and deploy ML models and MLOps pipelines that learn from infrastructure patterns to optimize resource policies and scaling.
Own AI systems end-to-end, from architecture to production, ensuring performance, reliability, and cost-effectiveness.
ScaleOps is redefining autonomous cloud and AI infrastructure by freeing DevOps teams from manual resource management, reducing cloud costs by up to 80%. Backed by over $210M from leading VCs, the company is trusted by Fortune 100 companies and fosters an innovative, mission-driven culture.