Senior Backend Engineer AI Agents Climate Tech (all genders)

Global Changer

Not Interested
Bookmark
Report This Job

profile Job Location:

Berlin - Germany

profile Yearly Salary: EUR 70000 - 80000
Posted on: 11 hours ago
Vacancies: 1 Vacancy

Job Summary

Location: 100% Remote (CET /- 1)
Reporting to: CTO
Team: Corporate Carbon Footprint (CCF) / Product Carbon Footprint (PCF) Squad

About Global Changer

Are you tired of working on products you dont really care about

Do you want to work on something that has a positive impact on humanity and our planet Do you like to get stuck in and are you passionate about coding Then we have a great opportunity for you.

At Global Changer you will work on a solution with a clear goal: helping companies reduce emissions faster. We focus on one of the biggest levers to fight the climate crisis and work mainly with large organisations.

We are backed by well-known investors (including neosfer part of the Commerzbank Group and the former CIO of innogy) and work with renowned customers such as Heraeus Tchibo and Haniel.

Our goal is to reach as many companies as possible worldwide with our software and contribute meaningfully to reducing emissions. Impact is therefore one of our core values.

About the software

Our product is a SaaS B2B platform that supports companies along their sustainability journey with a strong focus on carbon accounting (Corporate Carbon Footprint (CCF) and Product Carbon Footprint (PCF)). We use AI to support data-heavy workflows and to generate estimates where data is incomplete always with the goal of improving data quality over time.

Your role

As a Senior Backend Engineer - AI Agents (m/f/d) you will shape how AI is used in our Corporate Carbon Footprint (CCF) and Product Carbon Footprint (PCF) workflows.

Your focus is on building reliable production-grade LLM-based systems and integrating them cleanly into our backend architecture. This is not a research role. Its about making AI systems understandable reproducible and trustworthy in a data-heavy audit-relevant product.

You will work closely with the CTO product management senior engineers and sustainability experts combining hands-on implementation with architectural responsibility.

You will work on:

  • Designing and implementing agent-based LLM systems (tool calling orchestration)
  • Applying RAG to ground AI outputs in internal data
  • Defining evaluation quality control patterns and uncertainty signals for AI-generated results (e.g. LLM-as-a-judge)
  • Combining AI-driven logic with rule-based mechanisms for reproducibility
  • Making informed trade-offs between accuracy cost latency and reliability in production

You will not be building or training foundation models.

Tasks

  • Own the backend services (agents) for AI-driven PCF and CCF workflows
  • Implement and evolve agent orchestration evaluation and quality mechanisms (ML Ops)
  • Set technical direction for AI-related backend systems together with the CTO and other senior engineers
  • Translate product and domain requirements into robust technical solutions
  • Ensure code quality and knowledge sharing through code reviews and collaboration

Selective Technologies we use

  • Languages: Golang Python (FastAPI)
  • Agents: Langgraph Langfuse
  • LLMs: self-hosted inference backends with battle-proven state-of-the-art models
  • Messaging & Data: NATS Postgres Redis

Requirements

Must Haves

  • 5 years of experience in backend software development
  • Strong Python skills
  • Proven track in agent development in a professional environment
  • Strong familiarity with agent frameworks technologies and techniques (RAG tool-calling function-calling agent design patterns)
  • Experience balancing performance cost and accuracy in production environments
  • Fluent in English clear written and verbal communication (German is a plus)
  • You live in the EU (CET 1) with a valid work permit
  • You are passionate about the fight against the climate crisis and creating customer-oriented solutions that deliver real added value
  • Startup or scale-up experience

Nice to have

  • Experience in data-heavy or audit-relevant domains
  • Degree in computer science or a related field

Benefits

  • Creating long-lasting software with a positive impact - we are here to stay
  • Play a decisive role in shaping our product and corporate culture
  • A mission that drives us every day
  • Fair compensation (first order of magnitude: around 70000 - 80000 gross depending on experience)
  • 28 vacation days and flexible vacation planning (you dont have to plan your entire vacation at the beginning of the year)
  • Flexible working hours - family-friendly :)
  • 100% remote is possible - work from your preferred location
  • Freedom to contribute to the open source community
  • Teamevents

Studies show that men apply for jobs if they fulfill around 60% of the criteria on average. Women and other members of marginalized groups on the other hand often only apply if they meet every single criterion. So if you think you have the potential but dont exactly meet every point in the job description apply anyway. Applicants of all ages are welcome.

Are you the right person to help take our company to the next level

Then simply apply to us now with your LinkedIn or Xing profile.

We look forward to getting to know you!

Location: 100% Remote (CET /- 1)Reporting to: CTOTeam: Corporate Carbon Footprint (CCF) / Product Carbon Footprint (PCF) SquadAbout Global ChangerAre you tired of working on products you dont really care aboutDo you want to work on something that has a positive impact on humanity and our planet Do y...
View more view more

Key Skills

  • Business Intelligence
  • Bidding
  • Accounts Assistant Credit Control
  • Account Development
  • Content Development
  • Lab Testing

About Company

Company Logo

Global Changer helps Sustainability Teams of complex organizations automating tedious tasks to reach CSRD-compliance and reach their goals with our intelligent copilot and expert guidance. We are a fast-growing, fully remote Climate Tech startup with an office in Berlin.

View Profile View Profile