Full-Stack Engineer

Role overview Build and scale full-stack product features for a marketing operations platform that coordinates AI tools and shared workflows. You’ll work across backend services, data, user interfaces, and machine learning integrations, with ownership of technical decisions and production delivery.

Responsibilities - Design features end to end, from PostgreSQL schemas and APIs to React interfaces, with attention to reliability and scale. - Develop REST or GraphQL services, data pipelines, and distributed systems on Google Cloud Platform. - Integrate and troubleshoot large language models and generative AI; build retrieval-augmented generation or fine-tuning pipelines. - Connect frontend, backend, and machine learning components through clear contracts and efficient data flows. - Work with product, research, design, and infrastructure colleagues to scope, refine, and ship production software. - Monitor system performance, reliability, and security, and mentor engineers through reviews and shared practices.

Requirements - At least five years of professional software engineering experience, including end-to-end full-stack ownership. - Strong hands-on skills in Python, Node.js, React with TypeScript, and PostgreSQL. - Practical experience with Google Cloud Platform, Docker or Kubernetes, and high-traffic systems. - Experience bringing AI or machine learning models—including LLMs, NLP, or RAG—into production applications. - Familiarity with MCP servers or a strong interest in working with them. - Sound problem-solving skills and a product mindset that considers user experience, performance, and business impact.

Nice to have - Experience building multi-step or agent-based AI workflows. - Background in AI infrastructure or developer tooling, or contributions to open-source AI/ML projects.

Benefits and work setup The role is remote-first and supports a team working 9 a.m.–5 p.m. Eastern Time. Employees near the New York or Lisbon hubs may have a hybrid schedule; Brazil and Spain are also listed as hub locations. The package includes flexible paid time off, local holidays, parental leave, and opportunities to work across disciplines.