Senior AI Software Engineer – Payments

2 semanas atrás

Rio de Janeiro, Rio de Janeiro, Brasil Coderio Tempo inteiro

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.

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In this role, as a Senior AI Engineer, you will design, develop, and deploy AI-powered solutions that enhance automation, scalability, and intelligence across payment systems. You will work on cutting-edge applications that leverage large language models (LLMs), cloud services, and modern DevOps practices to drive innovation and performance within a dynamic, fast-paced environment. Collaborating with cross-functional teams, you will help shape the future of payment technology by bringing advanced AI solutions into production at scale.

What to Expect in This Role (Responsibilities)

Design, build, and deploy scalable AI systems and applications using Python, LLM frameworks, and cloud services (AWS preferred).

Collaborate with cross-functional teams to integrate and optimize AI solutions that enhance performance, security, and automation in payment processing.

Contribute to the architecture of LLM-based products through prompt engineering, RAG patterns, and modern scalability techniques.

Implement and maintain CI/CD pipelines, IaC, and best practices in DevOps/MLOps.

Research and evaluate emerging AI technologies to continuously improve product capabilities and innovation.

Requirements

5+ years of hands-on experience in Python for backend or AI/ML development.

3+ years of experience developing AI/ML or LLM-based solutions, including prompt engineering, RAG, and fine-tuning techniques.

3+ years working with LLM frameworks such as LangChain or LlamaIndex, and experience building interactive AI applications using Streamlit or Gradio.

3+ years of experience with Docker, containerized deployments, and infrastructure as code (IaC) tools (Terraform, CloudFormation, or similar).

3+ years implementing and maintaining CI/CD pipelines, Git-based version control, and DevOps practices.

3+ years working with cloud infrastructure (preferably AWS, but Azure or GCP are acceptable).

Proven experience applying scalability and performance optimization patterns (caching, asynchrony, decoupling, parallelism, etc.).

Strong background in system design, software architecture, and API integration.Excellent analytical, problem-solving, and communication skills.

Fluent English proficiency (written and spoken) is mandatory.

Nice to Have

Experience in evaluation and observability of generative AI applications.

Familiarity with microservice architectures and API integrations.

Exposure to Kubernetes or other container orchestration tools.

Open-source contributions or publications in AI/ML or software engineering.

Understanding of AI ethics, model governance, and responsible AI practices.

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 are waiting for you. Apply now.

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