2 дня назад
Python Fullstack Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Python Fullstack Engineer (AI): Designing and developing scalable backend infrastructure and robust APIs for AI, NLP, and data-intensive software environments with an accent on Python, React, cloud technologies, and database integration. Focus on building server features, integrating third-party systems, and evaluating technologies for high-performance solutions.
Location: Remote, limited to candidates based in Argentina, Brazil, Mexico, the Dominican Republic, or Uruguay
Compensation: USD remuneration; exact amount not specified
Company
is a San Francisco-based software development firm specializing in AI applications, intelligent automation, cloud, data, and custom machine learning solutions.
What you will do
- Design, develop, and test server features and robust APIs.
- Develop scalable, high-performance backend infrastructure for AI, NLP, and data-intensive software environments.
- Build fullstack solutions using Python, React, and open-source frameworks including Django, Flask, Eve, and FastAPI.
- Integrate applications with third-party systems and APIs.
- Evaluate alternative technologies and approaches to solve engineering problems.
Requirements
- Bachelor’s or master’s degree in Computer Science, a related field, or equivalent experience.
- Professional English proficiency at B2/C1 level.
- 5+ years of backend development experience with Python and Django, Flask, Eve, or FastAPI.
- Deep expertise in Linux and hosted cloud environments such as Heroku, AWS, or App Engine.
- Practical experience with open-source technologies, SQL and NoSQL databases, and RESTful, OAuth, and JSON integrations.
- Strong problem-solving skills, self-direction, motivation, and work ethic.
Nice to have
- Agile mindset and willingness to code collaboratively.
- Collaborative hacker spirit.
Culture & Benefits
- 100% remote work within the stated Latin American locations.
- Paid time off and U.S. holidays.
- Mentored career development and continuous learning.
- USD remuneration and profit sharing.
- Maternity coverage.
- Opportunities to contribute to philanthropy, open-source initiatives, and knowledge sharing.
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