🔔 FCM Loaded

AI Engineer

AB InBev GCC India

2 - 5 years

Bengaluru

Posted: 17/02/2026

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Job Description

Dreaming big is in our DNA. Its who we are as a company. Its our culture. Its our heritage. And more than ever, its our future. A future where were always looking forward. Always serving up new ways to meet lifes moments. A future where we keep dreaming bigger. We look for people with passion, talent, and curiosity, and provide them with the teammates, resources and opportunities to unleash their full potential. The power we create together when we combine your strengths with ours is unstoppable. Are you ready to join a team that dreams as big as you do?


AB InBev GCC was incorporated in 2014 as a strategic partner for Anheuser-Busch InBev. The center leverages the power of data and analytics to drive growth for critical business functions such as operations, finance, people, and technology. The teams are transforming Operations through Tech and Analytics.


Do You Dream Big?

We Need You.



Job Description


Job Title: AI Engineer

Location: Bangalore (Onsite)

Reporting to: Senior Manager, Analytics


PURPOSE OF ROLE

We are seeking a professional with expertise in applying Generative Artificial Intelligence to join our procurement technology project team. As a team member, you will be responsible for developing and implementing innovative solutions globally, primarily using generative AI technologies, directly contributing to optimize our business operations and transform customer experience through advanced technological solutions.


KEY TASKS AND ACCOUNTABILITIES

  • Design, develop, and maintain end-to-end software solutions using generative AI technologies and machine learning within the logistics technology department.
  • Utilize low/no-code tools as accelerators for development and solution implementation.
  • Good to Have - Integrate and work with SAP systems to ensure seamless data flow between procurement and logistics operations.
  • Familiarity with Model Context Protocol (MCP) to structure, manage, and optimize data exchange between applications and ML models.
  • Develop and deploy applications using Python and Machine Learning (ML) stack to automate invoice validation, anomaly detection, and data analysis.
  • Collaborate with cross-functional teams to gather requirements, propose technical solutions, and align deliverables with business needs.
  • Implement and maintain deployment pipelines, leveraging Azure DevOps for CI/CD automation.
  • Ensure solutions meet compliance, security, and performance standards. Conduct code reviews and enforce best practices in software engineering.
  • Maximize scalability, performance, usability, and reliability of developed applications
  • Document technical designs, workflows, and processes for both technical and non-technical stakeholders.
  • Support and troubleshoot production issues, ensuring minimal downtime and quick resolution.
  • Systematically analyze continuous improvement opportunities in already developed systems. Demonstrate initiative for autonomous learning and constant updates on emerging technologies
  • Actively participate in Scrum events and ensure commitment to agreed schedules and deliveries


QUALIFICATIONS, EXPERIENCE, SKILLS

Education:

  • Bachelors degree in Computer Science, Software Engineering, Information Systems, or related field.


Experience:

  • 5 to 9 years of hands-on experience as a Software Engineer, with a proven track record of delivering high-quality, scalable, and maintainable solutions in a collaborative team environment.


Technical/Functional Skills:

Mandatory Skills:

  • Strong proficiency in Python
  • Experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn)
  • Familiarity with containerization (Docker, Kubernetes)
  • Experience in application development and deployment in production environments
  • Strong problem-solving skills and ability to work with large datasets
  • Basic understanding of Model Context Protocol (MCP)


Preferred (Good to have) Skills:

  • Experience in the Consumer-Packaged Goods (CPG) sector
  • Previous work under Agile methodology and Scrum framework
  • Familiarity with Azure DevOps and CI/CD pipelines
  • Knowledge of procurement systems and processes
  • Ability to work collaboratively in a fast-paced, agile environment
  • Familiarity with SAP systems


And above all of this, an undying love for beer!

We dream big to create future with more cheers.

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