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Senior Ai Engineer - Python/Typescript - (Stand By Por El Cliente - No Responde)

Coderio

Porto Alegre

Presencial

BRL 120.000 - 160.000

Tempo integral

Há 18 dias

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Resumo da oferta

A leading tech firm is seeking an AI Software Engineer to design scalable AI applications and integrate LLMs into production systems. The role involves building end-to-end applications using Python and Node.js, collaborating with cross-functional teams, and ensuring robust workflows. Ideal candidates have extensive software engineering experience, strong skills in Python and TypeScript, and familiarity with cloud technologies. This position offers a fully remote work environment and a clear path for professional growth and leadership.

Serviços

100% remote
Long-term commitment
Collaborative international team
Clear path to growth

Qualificações

  • 6+ years of professional software engineering experience.
  • 4+ years of experience with Python.
  • 2+ years of experience with TypeScript.
  • 2+ years working with LLMs in production.
  • 2+ years of experience with automation workflows.

Responsabilidades

  • Build end‑to‑end LLM applications in Python / Node.js.
  • Design agentic workflows and RAG pipelines.
  • Integrate, fine‑tune, and optimize models.
  • Ensure scalability and reliability with cloud environments.

Conhecimentos

Software engineering
Python
TypeScript
LLMs integration
RESTful APIs
Asynchronous programming
Docker
CI/CD pipelines
SQL
Node.js

Ferramentas

Docker
AWS
Descrição da oferta de emprego
About Us

Coderio designs and delivers scalable digital solutions for global businesses.

With a strong technical foundation and a product mindset, our teams lead complex software projects from architecture to execution.

We value autonomy, clear communication, and technical excellence.

We work closely with international teams and partners, building technology that makes a difference.

Learn more:

We are looking for an AI Software Engineer with strong experience in software development and hands‑on integration of LLMs into production systems.

You will design scalable AI applications, develop agentic workflows, and build robust solutions leveraging modern cloud and container technologies.

Responsibilities
  • Build end‑to‑end LLM applications in Python / Node.js.
  • Design agentic workflows and RAG pipelines.
  • Integrate, fine‑tune, and optimize models.
  • Ensure scalability and reliability with cloud and containerized environments.
  • Collaborate with cross‑functional teams and contribute to best engineering practices.
Requirements
  • 6+ years of professional software engineering experience.
  • 4+ years of experience with Python.
  • 2+ years of experience with TypeScript.
  • 2+ years working with LLMs in production.
  • 2+ years of experience with automation workflows (n8n, Make, etc.).
  • Strong knowledge of RESTful APIs and asynchronous programming.
  • Production experience with Docker and CI / CD pipelines.
  • Fluency in English (written and spoken).
Nice to Have
  • Strong SQL skills and experience with MySQL or PostgreSQL tuning.
  • Deep knowledge of Node.js and Express.
  • Familiarity with GraphQL.
  • Exposure to AWS (ECS / EKS, S3, Lambda).
Benefits
  • 100% remote.
  • Long‑term commitment, with autonomy and impact.
  • Strategic and high‑visibility role in a modern engineering culture.
  • Collaborative international team and strong technical leadership.
  • Clear path to growth and leadership within Coderio.
Why join Coderio?
At Coderio, we value talent regardless of location.

We are a remote‑first company, passionate about technology, collaborative work, and fair compensation.

We offer an inclusive, challenging environment with real opportunities for growth.

If you are motivated to build solutions with impact, we look forward to hearing from you.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses.

These tools assist our recruitment team but do not replace human judgment.

Final hiring decisions are ultimately made by humans.

If you would like more information about how your data is processed, please contact us.

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