We are redirecting you to the source. If you are not redirected in 3 seconds, please click here.

Full-Stack Engineer (Python/React/GenAI) at Toptal. Location Information: Anywhere in the World. . . Headquarters:. Remote . URL:. . http://Toptal.com. . . About Toptal. . Toptal is a global network of top talent in business, design, and technology that enables companies to scale their teams on demand. With $200+ million in annual revenue and team members based around the globe, Toptal is the world’s largest fully remote workforce.. . . . ​We take the best elements of virtual teams and combine them with a support structure that encourages innovation, social interaction, and fun. We see no borders, move at a fast pace, and are never afraid to break the mold.. . . . About the client. . Our client is a leading global consulting firm that delivers transformation programs for companies worldwide. They develop internal tools and client-facing web applications using modern full-stack development and Generative AI, focusing on automation, smarter decision-making, and enhanced user experiences.. . . . About the role. . We’re hiring Full-Stack Engineers (Python/React/GenAI) to join multiple production AI initiatives. You will collaborate with a multidisciplinary consulting team to build scalable web applications and integrate GenAI capabilities into business workflows.. . . . This role is a great fit for engineers who like owning features end-to-end, collaborating with stakeholders, and shipping in a fast-moving environment. It’s also important to note: general full-stack experience alone isn’t enough. You’ll be expected to contribute both to new builds from scratch and to improving and expanding existing systems — including integrating GenAI features that will be used in production.. . . . What success looks like:. . . . Ship production-grade features end-to-end using Python (Django preferred) and React, including well-structured APIs and reliable deployments.. . . . Deliver GenAI features in production (LLM interactions, workflow automation, data enrichment, RAG) with practical guardrails and evaluation.. . . . Improve performance and maintainability by identifying bottlenecks, strengthening service boundaries, and contributing to CI/CD quality.. . . . Collaborate effectively with distributed, cross-functional teams across multiple initiatives and geographies.. . . . . . Responsibilities:. . . . Develop, maintain, and optimize backend services using Python (Django preferred; Flask/FastAPI acceptable).. . . . Build responsive, maintainable front-end interfaces using React.. . . . Integrate Generative AI capabilities into existing and new applications (e.g., LLM interactions, workflow automation, data enrichment, RAG).. . . . Design and implement REST APIs that connect front-end, back-end, and AI services.. . . . Assist in testing, debugging, and deployment using modern CI/CD practices.. . . . Collaborate with stakeholders to translate requirements into scalable, production-ready solutions.. . . . . . Must have:. . . . Experience of at least 3 years in the domain.. . . . Solid hands-on understanding of Python (Django/Flask/FastAPI or similar).. . . . High level of front-end familiarity with React (production web apps).. . . . Hands-on experience building or integrating GenAI solutions in production (OpenAI/Azure OpenAI, LangChain, embeddings, vector DB, RAG).. . . . Master the fundamentals of RESTful API/Service integration design.. . . . Experience with databases: SQL and/or NoSQL.. . . . Knowledge of cloud environments: AWS, Azure, or GCP. . . . . . . Nice to have:. . . . Knowledge of MLOps workflows (model evaluation, monitoring, prompt/versioning, deployment patterns).. . . . Experience in consulting or enterprise settings.. . . . . . Important to note: . . . . Location: Brazil-based candidates ONLY (São Paulo & Rio areas). . . . Work model: Remote, with expected onsite visits a few times per month.. . . . Type: Contract, 40h/week.. . . . Duration: 6-12 months initially, with long-term engagement.. . . . Authorization: Applicants must be authorized to work in their country of residence without employer sponsorship.. . . . . . Why consider this opportunity?. . . . You’ll get access to Toptal’s global network, including opportunities with Fortune 500 and other enterprise clients.. . . . You’ll have flexibility to choose projects that match your goals — part-time or full-time, short-term or long-term (based on matching and availability).. . . . There’s a potential path to direct employment with the client later.. . . . The client may provide a Windows laptop.. . . . . . To apply:. . https://weworkremotely.com/remote-jobs/toptal-full-stack-engineer-python-react-genai.