Ai Engineer • Senior

Who you are

You have a strong background in backend engineering with a focus on AI platforms, bringing at least 5 years of experience in designing and implementing cloud infrastructure. Your expertise in AWS is complemented by your proficiency in Infrastructure as Code (IaC) tools like Terraform or AWS CloudFormation, allowing you to create scalable and efficient cloud solutions. You are well-versed in maintaining CI/CD pipelines using tools such as GitHub Actions, Jenkins, or ArgoCD, ensuring smooth and automated deployment processes. Your experience with observability solutions like Amazon CloudWatch and Prometheus/Grafana enables you to monitor and optimize system performance effectively.

You possess a deep understanding of container orchestration environments, particularly with EKS (Kubernetes) and ECS, which allows you to support and manage complex applications in production. Your programming skills in Python and familiarity with FastAPI empower you to develop robust backend architectures for AI services, including AI Verification and ChatGPT services. You are committed to following best practices in software development, including Domain-Driven Design (DDD) and Test-Driven Development (TDD), to ensure high-quality deliverables.

Your experience includes developing and maintaining production services for validating AI-generated content, utilizing tools such as Hugging Face, Transformers, SpaCy, and NLTK. You are adept at optimizing model latency through techniques like ONNX compression, ensuring that AI solutions perform efficiently in real-world applications. You thrive in a collaborative environment, working closely with cross-functional teams to deliver high-impact solutions that meet client needs.

Desirable

Experience with additional cloud platforms or services is a plus, as is familiarity with other programming languages or frameworks that complement your skill set. You are open to continuous learning and professional development, eager to stay updated with the latest advancements in AI and backend technologies.

What you'll do

In this role, you will design, implement, and manage cloud infrastructure on AWS, leveraging your expertise in Infrastructure as Code (IaC) tools to create scalable solutions. You will maintain and improve CI/CD pipelines, ensuring that deployment processes are efficient and reliable. Your responsibilities will include implementing observability solutions for monitoring and alerting, allowing for proactive management of system performance.

You will support container orchestration environments, utilizing your knowledge of EKS and ECS to manage applications effectively. Your role will involve developing backend architecture for AI services, focusing on AI Verification and ChatGPT solutions, using Python and FastAPI to create robust and scalable applications.

You will follow best practices in software development, including Domain-Driven Design (DDD) and Test-Driven Development (TDD), to ensure high-quality code and maintainable systems. Additionally, you will develop and maintain a production service for validating AI-generated content, utilizing tools such as Hugging Face and Transformers to enhance the capabilities of AI solutions.

Your work will also involve optimizing model latency through various techniques, ensuring that AI services perform efficiently under load. You will collaborate with cross-functional teams to deliver high-impact solutions that meet client requirements, contributing to the overall success of NEORIS as a Digital Accelerator.

What we offer

NEORIS provides a supportive work environment that encourages innovation and continuous learning. You will have access to personalized career plans and opportunities for continuous training, including certifications and language courses. The company promotes a flexible work schedule, focusing on work-life balance, and offers social benefits tailored to your needs. Join a team of over 4,000 professionals across 11 countries, where you can make a significant impact in the field of AI and backend engineering.