AI Engineer

Summary

Join our team as an AI Engineer and play a pivotal role in shaping the future of payment technology. You will collaborate with cross-functional teams to develop and improve scalable AI systems. Your responsibilities include researching and integrating new AI technologies, building and deploying AI solutions using Python, LLMs, and cloud services. This is a dynamic environment that fosters innovation and creativity. The ideal candidate possesses a Bachelor's degree in a related field, extensive experience with Python and cloud infrastructure, and familiarity with various AI technologies and DevOps practices. Advanced English proficiency is essential for this role.

Requirements

• Possess a Bachelor's Degree in Computer Science, Engineering, or a related field
• Have 5+ Years of experience working with Python
• Have 3+ Years of experience working with Cloud infrastructure (AWS, Azure, or GCP)
• Have experience with Docker
• Have familiarity with Architecture for LLM Applications and Prompt Engineering techniques/patterns
• Have experience with Evaluation and observability of generative AI applications
• Have experience with DevOps best practices, including version control (Git), infrastructure as code (IaC), and continuous integration/continuous deployment (CI/CD)
• Have experience applying scalability patterns (caching, parallelism, routing, asynchrony, decoupling, etc)
• Have Advanced English Level

Responsibilities

• Collaborate closely with cross-functional teams, including data scientists, software engineers, and product managers, to develop and improve scalable AI systems
• Research, evaluate, and integrate new AI technologies, frameworks, and tools to improve payment systems' efficiency, security, and performance
• Build and deploy AI solutions using a stack that features Python, LLM libraries, and AI third-party services and AWS services

Preferred Qualifications

Have particular experience with AWS Bedrock, Azure Machine Learning / Azure Open AI / Azure AI Foundry, or Google Vertex