About OutSystems

OutSystems Recruitment

Job Role: AI Engineer

Qualification: Bachelors / Masters Degree

Experience: 0-2 years 

Batch: 2025 / 2024 / 2023 / 2022

Salary: up to ₹4-15 LPA

Job Location: Bangalore

Last Date: ASAP

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About the role

As an AI Engineer at OutSystems, you’ll play a key role in building the intelligent systems that power the future of application development. You’ll work closely with Research Scientists and AI Engineers to bring innovative ideas to life—turning cutting-edge research into robust, scalable, and reliable features. While experience in AI/ML is a bonus, what we value most is strong software engineering expertise. If you’re excited about building complex systems, learning new technologies, and shaping the future of software development, we want to hear from you.

Key Responsibilities

• Design and develop production-ready systems in collaboration with multiple stakeholders.
• Work closely with Research Scientists and AI Engineers to prototype, implement, and productionize innovative features—learning AI concepts on the job as needed.
• Build highly available, fault-tolerant AI systems with a focus on scalability, performance, and reliability.
• Contribute to AI data pipelines and feedback loops that support continuous improvement of intelligent features.
• Stay informed about the latest in software development and relevant AI/ML advancements, helping the team adopt the right tools and practices.
• Collaborate across teams to identify opportunities to improve developer experiences through automation and intelligent tooling.

Preferred Qualifications

• At least a Bachelor’s degree in Computer Science, Software Engineering, or a related technical field.
• 2+ years of professional experience in building and shipping scalable, data-intensive software systems.
• Strong programming skills with a focus on designing and implementing end-to-end solutions.
• Experience with Python is required; experience with C# is a plus.
• Experience with Web Development, using React (plus)
• Solid understanding of system design, architecture, and engineering best practices.
• A collaborative mindset with a willingness to learn new domains, including AI/ML.