Offer summary

Qualifications:

Bachelor's Degree in Computer Science, Engineering, or a related field., At least 5 years of experience with Python programming., Over 3 years of experience with Cloud infrastructure, especially AWS., Familiarity with LLM architectures, prompt engineering, and AI deployment best practices..

Key responsibilities:

Collaborate with cross-functional teams to develop scalable AI systems.

Research and integrate new AI technologies to enhance payment systems.

Build and deploy AI solutions using Python, LLM libraries, and cloud services.

Evaluate and improve the performance and security of AI applications.

Job description

About the project

As an AI Engineer, you will have a direct and impactful role, potentially shaping the trajectory of the company. You'll be able to experience firsthand the substantial influence your contributions will have on our company's growth and success. This dynamic environment encourages innovation and creativity, empowering you to shape the future of payment technology.

How your day-to-day work will look like

✅ 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.

This would make you the ideal candidate

✨ Bachelor's Degree in Computer Science, Engineering, or a related field.
✨ 5+ Years of experience working with Python.
✨ 3+ Years of experience working with Cloud infrastructure (AWS, Azure, or GCP). Also, particular experience with AWS Bedrock, Azure Machine Learning / Azure Open AI / Azure AI Foundry, or Google Vertex is highly valued.
✨ Experience with Docker.
✨ Familiarity with Architecture for LLM Applications and Prompt Engineering techniques/patterns.
✨ Evaluation and observability of generative AI applications.
✨ Experience with DevOps best practices, including version control (Git), infrastructure as code (IaC), and continuous integration/continuous deployment (CI/CD).
✨ Experience applying scalability patterns (caching, parallelism, routing, asynchrony, decoupling, etc).
✨ Advanced English Level is required for this role as you will work with US clients. Effective communication in English is essential to deliver the best solutions to our clients and expand your horizons.

Required profile