19 дней назад
Software Engineer (AI)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Software Engineer (AI) (Python/TypeScript, Azure/AWS): Develop and deploy scalable full-stack cloud solutions for financial institutions with an accent on secure APIs, SaaS architecture, and AI-enabled applications. Focus on designing end-to-end systems, integrating AI frameworks and data platforms, and ensuring reliable delivery through testing, CI/CD, and cloud operations.
Location: Remote within LATAM
Company
AI and software engineering consultancy helping financial institutions adopt emerging technologies and achieve measurable business outcomes.
What you will do
- Develop, improve, test, and deploy full-stack cloud solutions on Azure and AWS.
- Build end-to-end applications and services using Python, TypeScript, FastAPI, and Next.js.
- Design REST APIs, data migrations, unit tests, end-to-end tests, and production delivery pipelines.
- Deploy and manage cloud resources while supporting platform stability, issue triage, and technical investigations.
- Participate in design discussions, estimations, customer meetings, status reporting, and requirements prioritization.
- Own solutions and collaborate with clients, engineers, architects, and AI specialists.
Requirements
- More than 4 years of experience developing applications and services with TypeScript, Python, or a similar language.
- Experience building and deploying SaaS applications at scale.
- Experience with data storage technologies such as PostgreSQL, SQL Server, Redis, or AWS DynamoDB.
- Ability to design REST-based APIs for complex systems.
- Experience securing applications across data-at-rest and public-interface layers.
- Experience delivering solutions with Azure or AWS services, including Azure SQL Database and App Service.
Nice to have
- Experience with AI frameworks and tools such as LangChain or Semantic Kernel.
- Knowledge of RAG, agentic patterns, and workflow orchestration.
- Formal training in an engineering discipline.
Culture & Benefits
- Direct collaboration with financial institutions, engineers, clients, and AI specialists.
- Opportunities to help organizations adopt AI and new ways of working.
- Support for Azure and Anthropic certifications.
- Environment emphasizing honesty, responsibility, integrity, and commitment fulfillment.
- Equal opportunity employment.
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