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, build, and deploy production AI applications, copilots, retrieval systems, and agentic workflows.
Develop backend services, APIs, and application architectures integrating AI capabilities into enterprise systems.
Deploy AI solutions with security, observability, monitoring, evaluation, and governance.
Aimpoint Digital is a data, AI, analytics, and operations research advisory and solution engineering firm that helps organizations design and deploy enterprise-grade AI platforms and production applications. The company is a technical partner focused on moving beyond experimentation, emphasizing strong engineering discipline and scalable architecture.
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.
Build AI-powered workflows, assistants, and automation systems for financial services.
Apply AI across customer support, CRM, onboarding, and operations.
Work with product and engineering teams to turn manual processes into AI-native systems.
We believe people deserve smarter ways to plan, save and grow their money. We are a mobile-first insurance platform in Southeast Asia with teams of over 20 nationalities.
Design, develop, and deploy scalable AI solutions using RAG, agentic frameworks, and MLOps.
Collaborate cross-functionally on cutting-edge projects integrating tools like LangChain, CrewAI, and Google ADK.
Apply advanced prompt engineering and monitor AI application performance to ensure robust solutions.
Blend is a premier AI services provider that co-creates meaningful impact for clients through data science, AI, technology, and people. The company fosters a collaborative culture with opportunities for learning and growth across a diverse team.
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.
Develop and operate production-ready AI and machine learning systems for enterprise-scale products.
Build and optimize LLM-powered applications, RAG pipelines, and intelligent agents.
Implement software engineering best practices for AI development including CI/CD and testing.
Our partner is building enterprise-grade AI solutions that deliver measurable business impact. They offer a remote-friendly work environment with a collaborative engineering culture focused on innovation, quality, and continuous learning.
Design and build production-grade AI and Generative AI solutions, including LLM applications, AI agents, and RAG pipelines, on Microsoft Azure.
Integrate AI capabilities with enterprise platforms like CRM, ERP, and ITSM, ensuring scale, reliability, and security.
Contribute to responsible AI practices and implement governance controls such as data classification, prompt injection defenses, and audit logging.
Unit4 is an agile, fast-growing cloud company redefining Enterprise Resource Planning (ERP) for mid-market people-centric organizations. With over 40 years of heritage, it fosters a high-performance, people-first culture that values trust, autonomy, and inclusion.
Lead end-to-end AI solutions, integrating LLMs and building agentic systems in production.
Design and optimize RAG pipelines, enforce PII redaction, and ensure secure data handling.
Mentor engineers, evaluate AI tooling, and drive adoption of agentic SDLC practices.
3Pillar is an AI transformation partner helping enterprises build AI-native products and intelligent agents. With teams across North America, Europe, Latin America, and Asia, they foster a remote-first global culture guided by collaboration, respect, and evolution.
Design and build production-ready AI agents that allow users to query enterprise data using natural language.
Develop Text-to-SQL pipelines using LLMs, ensuring generated queries are accurate, secure, and performant.
Collaborate with cross-functional teams to integrate AI into scalable platforms and improve accuracy through testing.
This role is listed on behalf of a partner company, which manages all applications and next steps. The company uses an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements.
Build high-quality, scalable systems while using AI as a co-creator across the software development lifecycle.
Own end-to-end engineering initiatives, ensuring delivery readiness, production stability, and smooth execution.
Provide technical leadership and drive improvements using modern practices like DORA metrics and flow optimization.
Our partner is a company seeking a Software Craftsperson/Python/AI for a remote role based in Ireland. They emphasize an autonomous, consultative, and impact-driven engineering culture with strong expectations around ownership and technical excellence.
Provide technical leadership and mentorship to junior engineers on the Applied AI team.
Design and implement scalable architectures for LLM-based applications, including agents and vector databases.
Develop evaluation pipelines and prototype components to validate AI product concepts.
Jobgether is an AI-powered job matching platform that connects candidates with hiring companies. They prioritize fair and efficient recruitment, fostering an inclusive and diversity-driven workplace culture.
Build agentic applications that solve real customer use cases using our platform capabilities.
Design agentic workflows, plugins, and tool integrations that deliver measurable customer value.
Translate ambiguous problems into intuitive AI experiences and rapidly iterate into production-ready solutions.
Legion builds secure, reliable AI systems for government and enterprise, born from a Department of Defense partnership. Trusted by leaders like Palantir, Nvidia, HPE, and Oracle, the company focuses on embedding intelligence into complex systems to optimize workflows.
Design and develop scalable frameworks, libraries, and platform components for AI-powered applications.
Define architecture, APIs, and engineering standards for agentic AI frameworks, including orchestration and evaluation.
Mentor engineering teams on AI agent development and promote best practices in a collaborative remote environment.
They are a technology company that builds foundational platforms for AI innovation across multiple product teams. They foster a collaborative, forward-thinking environment with significant ownership and long-term impact.
Design and build LLM-powered AI components for internal tools and user-facing applications.
Develop systems for data retrieval, embeddings, and intelligent automation workflows.
Collaborate with cross-functional teams on AI use cases and contribute to technical vision.
Jobgether powers job matching using AI to connect candidates with opportunities. They emphasize a remote-first, collaborative culture with high autonomy and flat structure.
Develop AI-powered applications and workflows from idea to production, balancing quality, latency, reliability, and cost.
Integrate Large Language Models, APIs, RAG approaches, and automation into existing products and processes, learning from real user signals.
Build robust ML pipelines, collaborate with data scientists and engineers, and shape the technical direction for AI solutions.
Breuninger is a fashion and lifestyle company operating 13 department stores and online shops across multiple European countries. With 6,500 employees, the company fosters a friendly, open culture and values innovation in AI and data.
Build AI-powered workflows, assistants, agents, and automation systems across customer support, CRM, and finance operations.
Work with product and engineering teams to turn manual processes into scalable AI-native systems using LLMs, APIs, and internal data.
Prototype quickly, test with users, then productionize what works, ensuring evaluation, monitoring, and reliability.
Bjak believes people deserve smarter ways to plan, save and grow their money, starting with the first mobile-first insurance platform in Southeast Asia. They have teams worldwide with over 20 nationalities working from offices and remotely, seeking talented and driven people.
Lead applied AI investments, owning technical direction for high-impact AI products and shipping systems across teams.
Collaborate cross-functionally to define and execute AI product innovation and engineering execution.
Help raise the bar for how we build, evaluate, and operate AI in production at scale.
Rula is a mental health company dedicated to treating the whole person with evidence-based and compassionate care. As a remote-first company, we hire in most U.S. states and focus on creating a culture of inclusion and well-being for our employees.
Build, implement, and deploy agentic platforms within client environments, focusing on scalable AI-driven solutions.
Design and build agentic platforms using Python and modern AI frameworks like LangGraph, CrewAI, and AutoGen.
Integrate agentic platforms with client systems, including APIs, data platforms, cloud services, and enterprise applications.
Nearform is an independent team of data & AI experts, engineers, and designers who build intelligent digital solutions and capability at pace. Today, our team of 500 experts in 20+ countries is trusted by leading enterprises, including Lululemon, Puma, Sun Life, Starbucks, Travelex, Virgin Media 02, and Walmart.
Design and build AI-enabled features for education products, working with stakeholders to understand real workflows.
Integrate LLM APIs and develop evaluation approaches for quality, consistency, and reliability.
Build prototypes quickly, test against real use cases, and productionize successful approaches.
We are a global EdTech company building a suite of AI-enabled products for students, teachers, and education partners to support better learning outcomes at scale. Our team fosters a culture of experimentation and disciplined engineering.