Software Architect for AI-Powered Applications
Há 3 dias
Job Title: Data Driven
About the Role:
As a Software Engineer, you will enable the AI team to design, build and deliver AI-powered applications in scale in a fast, secure, and reliable manner. Such applications are designed to serve several teams and drive business value across different business areas. You will be part of the recently established global AI Team, with the possibility to shape it from the beginning with foundational knowledge and best practices. You will work closely with experienced software developers, tech leads, DevOps, Machine Learning Operations (MLOps) and data professionals.
Key Responsibilities:
• Advise and guide the team in designing modern and modular software architectures and frameworks for AI-powered and mostly web-based applications.
• Take the lead on establishing best practices for software engineering and adopting the most suitable frameworks, tools and platforms for building successful AI applications.
• Develop AI-powered software applications, which might include multiple components such as frontend, backend, databases, API integrations and monitoring.
• Collaborate with data engineers, data scientists and software engineers to ensure seamless integration of data pipelines, machine learning algorithms and software modules into successful AI-based applications.
Qualifications:
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- Foundational knowledge on software architecture, principles and best practices.
- Several years of experience in full-stack software development in complex and long-term projects, from conception to deployment, with a focus on designing and implementing scalable, modular and maintainable software architectures.
- Previous experience in building AI-based applications is a plus.
- Proficiency in programming and creating solutions with Python. Knowledge of JavaScript/TypeScript is valued.
- Strong knowledge in database design and management, including both SQL and NoSQL databases.
- Experience in building and integrating RESTful APIs. Understanding of API security, authentication, and versioning.
- Knowledge and hands-on experience in using cloud services, preferably AWS.
- Experience with services such as API Gateway, Lambda, ECS, DynamoDB and related ones is highly valued.
- Experience in establishing and promoting best practices in software engineering, such as code reviews, automated testing, version control (Git), and Agile methodologies.
- Experience with AI/ML services (eg. OpenAI, SageMaker, Synapse), containerization, CI/CD and infrastructure as code are nice to have.
- Excellent problem-solving, communication and mentoring skills.
- Fluency in English, both written and spoken
- A reliable team player, with a collaborative attitude.
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