Senior AI Software Engineer – Payments & Automation

**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:http://coderio.com 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. 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.