Saturday, January 31, 2026
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Toptal: Full-Stack Engineer (Python/React/GenAI)



Headquarters: Distant

URL: http://Toptal.com

About Toptal

Toptal is a world community of prime expertise in enterprise, design, and expertise that allows firms to scale their groups on demand. With $200+ million in annual income and workforce members primarily based across the globe, Toptal is the world’s largest absolutely distant workforce.

 

​We take the most effective components of digital groups and mix them with a help construction that encourages innovation, social interplay, and enjoyable. We see no borders, transfer at a quick tempo, and are by no means afraid to interrupt the mildew.

 

In regards to the shopper

Our shopper is a number one world consulting agency that delivers transformation packages for firms worldwide. They develop inside instruments and client-facing net functions utilizing fashionable full-stack growth and Generative AI, specializing in automation, smarter decision-making, and enhanced consumer experiences.

 

In regards to the function

We’re hiring Full-Stack Engineers (Python/React/GenAI) to hitch a number of manufacturing AI initiatives. You’ll collaborate with a multidisciplinary consulting workforce to construct scalable net functions and combine GenAI capabilities into enterprise workflows.

 

This function is a superb match for engineers who like proudly owning options end-to-end, collaborating with stakeholders, and transport in a fast-moving surroundings. It’s additionally essential to notice: common full-stack expertise alone isn’t sufficient. You’ll be anticipated to contribute each to new builds from scratch and to bettering and increasing present methods — together with integrating GenAI options that might be utilized in manufacturing.

 

What success appears like:

  • Ship production-grade options end-to-end utilizing Python (Django most well-liked) and React, together with well-structured APIs and dependable deployments.

  • Ship GenAI options in manufacturing (LLM interactions, workflow automation, knowledge enrichment, RAG) with sensible guardrails and analysis.

  • Enhance efficiency and maintainability by figuring out bottlenecks, strengthening service boundaries, and contributing to CI/CD high quality.

  • Collaborate successfully with distributed, cross-functional groups throughout a number of initiatives and geographies.

 

Tasks:

  • Develop, preserve, and optimize backend providers utilizing Python (Django most well-liked; Flask/FastAPI acceptable).

  • Construct responsive, maintainable front-end interfaces utilizing React.

  • Combine Generative AI capabilities into present and new functions (e.g., LLM interactions, workflow automation, knowledge enrichment, RAG).

  • Design and implement REST APIs that join front-end, back-end, and AI providers.

  • Help in testing, debugging, and deployment utilizing fashionable CI/CD practices.

  • Collaborate with stakeholders to translate necessities into scalable, production-ready options.

 

Should have:

  • Expertise of a minimum of 3 years within the area.

  • Strong hands-on understanding of Python (Django/Flask/FastAPI or related).

  • Excessive degree of front-end familiarity with React (manufacturing net apps).

  • Fingers-on expertise constructing or integrating GenAI options in manufacturing (OpenAI/Azure OpenAI, LangChain, embeddings, vector DB, RAG).

  • Grasp the basics of RESTful API/Service integration design.

  • Expertise with databases: SQL and/or NoSQL.

  • Information of cloud environments: AWS, Azure, or GCP. 

 

Good to have:

  • Information of MLOps workflows (mannequin analysis, monitoring, immediate/versioning, deployment patterns).

  • Expertise in consulting or enterprise settings.

 

Vital to notice: 

  • Location: Brazil-based candidates ONLY (São Paulo & Rio areas)

  • Work mannequin: Distant, with anticipated onsite visits a number of occasions per thirty days.

  • Sort: Contract, 40h/week.

  • Period: 6-12 months initially, with long-term engagement.

  • Authorization: Candidates have to be licensed to work of their nation of residence with out employer sponsorship.

 

Why take into account this chance?

  • You’ll get entry to Toptal’s world community, together with alternatives with Fortune 500 and different enterprise purchasers.

  • You’ll have flexibility to decide on initiatives that match your objectives — part-time or full-time, short-term or long-term (primarily based on matching and availability).

  • There’s a possible path to direct employment with the shopper later.

  • The shopper could present a Home windows laptop computer.

 

To use: https://weworkremotely.com/remote-jobs/toptal-full-stack-engineer-python-react-genai

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