AI Application Engineer

About Pani

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.

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.

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.

• 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.

• Bachelor's degree in Computer Science, Software Engineering, or a related field. A Master’s degree or relevant certifications in AI/ML is a plus.

• Proficiency in Python and ML-related frameworks (e.g., FastAPI, Flask, Tensor Flow, PyTorch, Scikit-learn).
• Experience in building robust and scalable data pipelines and inference systems.
• Cloud expertise with AWS, GCP, or Azure.
• Strong understanding of version control (Git), CI/CD pipelines, and performance monitoring.
• Excellent communication skills and an ability to explain technical concepts clearly to non-technical stakeholders.

• A hands-on engineer with a product-driven mindset who is passionate about solving real-world problems with AI.
• A systems thinker who understands both the immediate implementation and broader impact of AI tools.
• A collaborative team player with the humility to learn and the curiosity to continuously improve.

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.

• Experience with B2B sales at any stage within the customer journey
• Experien…