Ecoplant is a fast-growing, award-winning AI-based SaaS company on a mission to create a greener, smarter industrial world. We help industrial plants reduce energy waste, CO₂ emissions, and unplanned downtime by bringing automation, visibility, and intelligence to compressed air systems. Our innovative platform modernizes outdated infrastructure, enabling leading manufacturers to cut costs, optimize performance, and operate more efficiently than ever.

Join our team and help build the next generation of AI powered industrial analytics platforms used daily by engineering teams.

We’re looking for a strong Python engineer who enjoys working across data, AI, and cloud infrastructure from building scalable microservices to deploying production ML and AI agents.

What You’ll Do:

• Design and evolve a Python microservices platform powering cloud based industrial data analytics.
• Build and deploy ML models for anomaly detection, predictive maintenance, and equipment optimization.
• Develop AI agent systems and LLM powered assistants with knowledge retrieval and structured tool integrations.
• Architect event driven integrations between industrial systems, cloud services, and business platforms.
• Work with GCP & AWS, Kubernetes, and modern CI/CD pipelines.
• Build reliable data pipelines across databases, streaming systems, and analytics platforms.
• Maintain high engineering standards with testing, code reviews, and strong data validation.
• Collaborate closely with Israeli user teams and help translate real world needs into platform improvements.
• Mentor engineers and contribute to a strong engineering culture.

What We’re Looking For:

• 4+ years of Python development experience with modern patterns and scalable architecture.
• Strong experience with microservices, cloud infrastructure, and Kubernetes.
• Hands-on data engineering and ML implementation experience.
• Experience with event-driven systems and distributed architectures.
• Comfortable working with GCP / AWS, CI/CD, and containerized environments.
• Strong ownership mindset and excellent English communication skills.

Nice to Have

• Experience with LLM / AI agent systems and RAG architectures
• Familiarity with LLM observability, evaluation, and prompt management
• Experience with high-performance data processing and workflow orchestration

If you’re excited about building real world AI platforms, solving complex engineering challenges, and helping drive meaningful change in industrial sustainability through data and AI, this role is for you.