AI Engineer (SAP Team)

Sabenza IT & Recruitment; Mayville (ND); Hybrid; USD 110,000 - 140,000; Full time

Benefits offered by this job

Remote / On-site options

Flexible working hours

High work-life balance

Modern offices

Job summary

Sabenza IT & Recruitment is seeking an experienced AI Engineer to join an enterprise SAP environment, building AI, ML, and data solutions with global technology teams. You will combine Python development with cloud, APIs, and modern AI tech to deliver practical business outcomes.

The role requires strong Python, AWS, API design, and testing, along with Git version control and code quality practices. You’ll work in a flexible hybrid model with remote and on-site options, contributing to

Qualifications

• Bachelor’s degree in CS, SE, or equivalent.
• 3+ years’ experience with Python development.
• Experience in AI solutions and data analytics is preferred.
• Solid understanding of software development practices.

Skills

Python

AWS Lambda

Git

Testing (pytest)

API Management

Cloud Platforms

IDE Tools

Education

Bachelor's degree

Job description

Ready to take your AI engineering career into an enterprise SAP environment? This is an opportunity to work on cutting-edge Artificial Intelligence, Machine Learning, Generative AI and data solutions while collaborating with global technology teams.

We're looking for an experienced AI Engineer who can combine strong Python development skills with cloud engineering, APIs, data analytics and modern AI technologies to build intelligent solutions that solve real business problems.

RequirementsESSENTIAL SKILLS:

• 1. Python ProgrammingStrong understanding of Python syntax and principles of clean, reusable code.Understanding of Python frameworks and libraries e.g. Pandas and NumPy.
• 2. AWS Lambda FunctionsExperience developing, deploying, and managing serverless applications using AWS Lambda.Proficiency in writing unit and integration tests for AWS Lambda functions to ensure functionality, performance, and reliability.
• 3. Version Control with GitExperience with Git repositories and code management (e.g. GitHub).Proficiency in using Git for version control and collaboration.
• 4. Testing FrameworksExperience with testing tools like pytest for creating and maintaining unit tests.Ability to implement automated testing pipelines to ensure code reliability.
• 5. API ManagementAPI designing principles and best practices.Experience in working with RESTful APIs and understanding how to consume and create APIs.Familiarity with API management tools, such as Apigee, for efficient and secure API integration.
• 6. Cloud PlatformsUnderstanding how to deploy application applications in AWS.
• 7. IDE And ToolsVisual studio code.GitHub Desktop.PyCharm.Jupyter Notebook.Any additional responsibilities assigned in the Agile Working Model (AWM) Charter.

ADVANTAGEOUS SKILLS:

• Strong understanding of SQL and experience writing complex queries for data extraction and manipulation.
• Basic understanding of Large Language Models (LLMs) like GPT-4 and their applications.
• Familiarity with integrating LLM APIs (e.g., OpenAI, Hugging Face) into Python applications is a plus.
• Experience and Knowledge about SAP Analytics Stack and Tools.
• Experience in designing and creating data models within SAP Datasphere leveraging Python for data transformation tasks.
• Experience in developing and implementing data integration solutions to connect various data sources to SAP Datasphere using Python scripts and APIs.
• Implementing and managing infrastructure on AWS using Terraform.
• Understanding and experience with Generative AI use cases or projects.
• Coaching and giving training to fellow colleagues and users when required.

QUALIFICATIONS/EXPERIENCE:

• Bachelor’s degree in Computer Science, Software Engineering, or similar qualification.
• 3+ years’ experience in developing in Python.
• Strong background in software development, mathematics, and good analytical and problem-solving skills.
• Experience in AI Solutions.

Benefits

• Cutting edge global IT system landscape and processes.
• Flexible working of 1960 hours in a 12-month period.
• High Work-Life balance.
• Remote / On-site work location flexibility.
• Highly motivating, energetic, and fast-paced working environment.
• Modern, state-of-the-art offices.
• Dynamic Global Team collaboration.
• Application of the Agile Working Model Methodology.