Senior Backend Engineer - AI Agents for Climate Tech - Remote
About the Role
We are seeking a Senior Backend Engineer - AI Agents to join our innovative team focused on climate technology. This remote position allows you to work from anywhere while contributing to impactful software solutions that address climate change. As a Senior Backend Engineer, you will play a crucial role in developing AI-driven applications that enhance sustainability management and carbon accounting.
What You'll Do
- Design and implement scalable backend systems using Python, Golang, and Ruby on Rails.
- Develop AI workflows and agent orchestration to optimize climate-related data processing.
- Collaborate with cross-functional teams to integrate cloud services and APIs.
- Lead engineering efforts in machine learning operations (MLOps) to ensure data quality and reliability.
- Participate in code reviews and mentor junior engineers to foster a culture of continuous improvement.
Requirements
- 5+ years of experience as a backend engineer, with a strong focus on AI agents and climate technology.
- Proficiency in Python, Golang, and Ruby on Rails.
- Experience with cloud platforms such as AWS and Kubernetes.
- Strong understanding of machine learning principles and data analysis.
- Excellent problem-solving skills and ability to work independently in a remote environment.
Nice to Have
- Familiarity with FastAPI and domain-driven design.
- Experience in sustainability management or carbon management.
- Knowledge of Kotlin and MySQL.
What We Offer
- Fair compensation between €70,000 - €80,000 gross annually.
- 28 vacation days with flexible planning to promote work-life balance.
- Flexible working hours to accommodate your lifestyle.
- 100% remote work option, allowing you to work from anywhere.
- Team events to foster collaboration and camaraderie.
This Senior Backend Engineer role offers a unique opportunity to work on AI agents in the climate tech sector while enjoying the flexibility of remote work.
Who Will Succeed Here
Proficiency in Python and Golang for building scalable backend services, with hands-on experience in frameworks like FastAPI to efficiently handle AI-driven applications.
Strong familiarity with AWS and Kubernetes, demonstrating the ability to deploy and manage cloud infrastructure for MLOps processes, ensuring high availability and performance of climate tech solutions.
A data-driven mindset with a passion for climate technology, evidenced by experience in developing applications that utilize AI for sustainability, and a proactive approach to solving complex problems in a remote work environment.
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