AI Application Engineer

AboutPani

Pani Energy is made up of a worldclass team of highly motivated individuals who share a mutual passion for the environment. We have created a web-based platform which enables the operators of water treatment facilities to operate their plants more efficiently saving energy, consumables,and the environment. We are excited to tackle challenging problems for the betterment of society. Our workplace environment fosters and encourages both ingenuity and collaboration.

Pani is part of the 2025 Global Cleantech 100 list of companies committed to taking action on the climate crisis for our contribution to accelerating the water sector's transition to net zero, and we are looking for driven, enthusiastic people who share this vision.

Position Description

The AI Application Engineer will play a critical role in bringing cutting-edge artificial intelligence into real-world applications that help water treatment operators make smarter decisions. This role sits at the intersection of data science and software engineering, turning models into fully integrated, reliable product features. You will collaborate with Data Scientists, Product Managers, and Engineers to ensure our AI features are impactful, scalable, and seamlessly deployed across our platform.

About You

You are a creative and pragmatic problem-solver who thrives at the intersection of machine learning and engineering. You understand how to translate model outputs into features that make a difference for customers and you enjoy optimizing those systems for performance, scale, and usability. You are comfortable in a fast-paced environment, care deeply about the end-user experience, and are energized by the opportunity to contribute to global water sustainability.

What You Bring to the Team

Experience

• 5+ years of experience in software engineering, including 2+ years of ML / AI application deployment in a production environment.
• Proven success in building and scaling AI / ML-powered features in SaaS or cloud platforms.
• Experience with containerization and orchestration tools (Docker, Kubernetes).
• Familiarity with deploying models via REST APIs or serverless frameworks (AWS Lambda, Cloud Run).
• Experience working cross-functionally with data science, product, and engineering teams.
• Bonus : Experience working with time series or industrial IoT data.

Education

Skills

Mindset

Responsibilities

AI Feature Development : Design, build, and integrate AI-powered features and tools into Pani’s SaaS platform, focusing on customer experience, model accuracy, and performance.

Model Deployment & Inference Systems : Deploy ML models as robust, production-ready services and ensure their performance is monitored, versioned, and optimized for scale.

Cross-Functional Collaboration : Work closely with Data Scientists, Engineers, and Product Managers to identify opportunities for AI and translate them into actionable product features.

Prototype & Iterate : Rapidly build and test proof-of-concept AI features and workflows, iterate based on feedback, and take successful prototypes to production.

Operational Reliability : Implement best practices for AI reliability, including automated testing, monitoring, rollback plans, and error handling.

Nice to Have

Does this role sound like the next step in your career?

Then we want to hear from you! If you don’t meet all of our requirements exactly, then we invite you to use your cover letter to tell us about your unique experience - we understand that talent comes from many places and that skills are transferable.

Our commitment to an extraordinary work environment

At Pani, our values drive how we work with each other, and we believe that being yourself at your place of work is just as important as the work you do. We strive to foster an inclusive and diverse community for all employees from all walks of life. So, no matter your gender, sexual orientation, physical ability, religion, ethnicity, race, age, or geographical location, we are a community that welcomes you.

Our Pani Recruitment Team personally reviews each application.

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