• Creatively solves design and delivery challenges to maximize learner impact with minimal effort • Rapidly prototypes and iterates using modern tools and methods to test ideas, learn what works, and scale effective solutions • Applies instructional design principles and adult learning theory to ensure solutions are effective, accessible, and aligned to business needs • Experiments with AI tools, web-based platforms, and automation to improve workflow efficiency and expand design possibilities • Collaborates with subject matter experts, learning peers, and project teams to translate ideas into clear, actionable learning products • Builds reusable frameworks and design assets that improve speed and consistency across projects • Manages multiple projects with a self-directed approach, adapting quickly to changes in scope, timelines, or direction • Shares knowledge of new tools, trends, and techniques with the team to foster a culture of experimentation and continuous improvement

• Realizar desenvolvimento de microserviços e APIs dentro de um grande cliente do mercado de pagamentos • Ajudar outras pessoas do time com dúvidas de negócio e tecnologia • Ajudar tech lead com pequenas alterações em documentação e processos • Destreza para falar com o cliente de forma clara e segura • Tomar iniciativa para resolver questões do dia a dia do time • Participação de ritos com nossos clientes • Interação com o time para compreensão da solução de negócio e técnica • Levantamento das atividades técnicas • Implementação de APIs e microsserviços

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description As a pivotal member of our nascent engineering team, you'll: - Work closely with the CEO and CTO to bring products from 0 to 1 - Have the autonomy to steer key architectural decisions and institute engineering best practices - Dive into exciting greenfield initiatives: from crafting intuitive UIs for customer facing products and internal tools to facilitate human-in-the-loop AI, to developing scalable backend systems and state-of-the-art machine learning models - Shape our company values and define our engineering culture - Immerse in company-building insights. We are committed to being transparent on fundraising, market strategies, and product evolution. Ideal for those aspiring to start their own companies Qualifications - Bachelor’s degree in Computer Science or related fields, or equivalent hands-on experience in a software development role - 4+ years of deep experience with React, NextJS, Typescript, or 5+ years of overall frontend development Requirements - Ownership & Drive: Take full responsibility for project deliverables, demonstrate initiative, and proactively solve challenges - Technical Mastery: 4+ years of deep experience with React, NextJS, Typescript, or 5+ years of overall frontend development - Problem-Solving: Navigate engineering tradeoffs effectively, balancing speed with quality - Design Insight: Ability to interpret product discussions, identify UI/UX needs, and create initial mock-ups or wireframes Benefits - Flexibility: Fully remote within the US - Competitive compensation: $120,000 - $200,000 with a generous equity package of 0.25% - 1% - Healthcare: Employer covers 99% of medical, vision, and dental insurance. Partial coverage for dependents - Time-off: Unlimited PTO

Role Description Architect secure, scalable, cloud-native solutions using Azure services (App Services, Functions, AKS, Event Grid/Event Hub, API Management, etc.). - Lead application modernization and migration programs from on premise or legacy platforms to Azure. - Apply architectural patterns such as microservices, serverless, event-driven, and domain-driven design. - Establish governance, best practices, reference architectures, and architecture review processes. - Integrate agentic components into enterprise applications with monitoring, observability, human-in-the-loop flows, and feedback loops. - Architect and implement GenAI solutions using frameworks such as LangChain, LangGraph, AutoGen, crewAI, and the OpenAI Agent SDK. - Design production-grade AI solutions such as Intelligent document processing, Automated content generation, Enterprise search assistants, Multi agent and decision-support systems. - Implement RAG, prompt engineering, fine-tuning, and orchestration techniques to build accurate and reliable AI systems. Qualifications - 14–18 years of experience in cloud architecture, enterprise applications, and/or AI/ML engineering. - Strong hands-on experience in Azure cloud services, networking, security, and infrastructure. - Practical experience with GenAI frameworks (LangChain, LangGraph, AutoGen, crewAI, OpenAI Agent SDK). - Proficiency in Python for AI/ML development; familiarity with REST, GraphQL, and APIs. - Solid experience with LLMs, RAG workflows, prompt design, vector databases, and embeddings. - Background in microservices, serverless architectures, and distributed systems. - Experience using Docker, Kubernetes, and container-based ecosystems. - Working knowledge of CI/CD pipelines, version control, automation, and MLOps concepts. - Ability to translate business needs into scalable architecture and deliver measurable transformation outcomes. Benefits - Flexible work arrangements to maintain a healthy work-life balance. - Career growth programs and diverse professions to explore a world of opportunities. - Valuable certifications in the latest technologies such as Generative AI.