Backend Engineer*in (Mid to Senior)

Briink – Backend Engineer, AI/ML & Climate Tech (Mid to Senior)

Berlin, Germany

Employee • Software Development

What we do

At Briink, we’re accelerating the transition to a sustainable future by creating next-generation AI‑powered tools for sustainability and ESG teams on the frontlines of solving the climate crisis. With over 50 enterprise clients—including some of the world’s largest firms—we’re already transforming how organizations manage their ESG data with AI.

Our technology helps sustainability teams uncover actionable insights from unstructured data sources, making it easier to drive compliance, efficiency, and impact at scale. Backed by €7 million in capital and supported by leading venture capital funds, Briink is at the forefront of ESG innovation. We’re based at the heart of Europe’s AI revolution—the AI Campus in Berlin—building a future where AI accelerates the transition to a sustainable economy.

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Your role

As Briink’s Senior Backend Engineer, you will bring the cutting edge of LLMs to environmental and sustainability teams and help advance Briink’s mission to use AI to accelerate the transition to a sustainable economy. You’ll design and build new backend services, ensuring scalability, robustness, and maintainability as the platform grows.

• Ideate, design, and scope new backend functionality to support AI‑powered features that meet user needs.
• Build backend functionality and deliver backend tasks, individually and through pair‑programming, from production to user delivery.
• Guard backend services, maintaining high quality and continuously improving robustness as we scale.
• Serve as a core member of the product and engineering team, collaborating across frontend, backend, and AI systems to align work with the company’s mission.

Technical Requirements

• 4+ years of backend engineering experience, ideally building SaaS or AI products.
• Fluency in Python, including strong proficiency with base Python and modern libraries/frameworks such as FastAPI.
• Experience building APIs, including production‑grade external‑facing APIs, REST principles, and features like rate‑limiting, versioning, client‑SDKs, and monitoring.
• Experience with databases, especially Postgres or other relational systems, ORMs like SQLAlchemy, and migration tooling such as Alembic.
• Experience with cloud services, preferably in GCP, designing scalable cloud infrastructure and distributing heavy‑processing jobs like AI workloads.
• Software quality focus: CI/CD, containerization, observability (logging, tracing, metrics), and robust testing practices.
• Fluency in English (C1 level) with clear communication to technical and non‑technical stakeholders.

Technical Nice to Haves

• Hands‑on experience with AI/LLM systems and the challenges of deploying them.
• Interest in AI agents and emerging autonomous system architectures.
• Experience with serverless/orchestration frameworks such as Modal for scalable AI workloads.
• Knowledge of distributed‑systems patterns, parallel execution, and load/failure testing.
• Experience with caching layers (e.g., Redis) and CDN strategies.
• Experience setting up integration tests.
• Advanced observability experience, especially with API services and cloud systems.
• Domain‑driven design experience for backend architecture.
• AuthN/AuthZ experience (OAuth 2.0, JWT) and secrets management, plus security/compliance best practices.
• Interest in sustainability, climate, or ESG topics, and a desire to apply your skills to accelerate the climate transition.

The type of person we’re looking for

• Technically minded: Building B2B SaaS backend services or AI LLM systems, solving complex problems, and applying knowledge to ESG products.
• Strong communicator and collaborator: Proactively sharing ideas, clarifying trade‑offs, communicating clearly in English, and fostering strong internal and external relationships.
• Low‑ego: Kind, respectful, and actively listening, valuing others’ contributions while confident in your expertise.
• Open to feedback: Experienced giving and receiving feedback with care and clarity, including mentoring when possible.
• Pragmatic mindset: Adjusting plans, priorities, or approaches when context changes; driven, self‑motivated, and a builder who integrates AI into tangible, impactful solutions.

What we offer

• Competitive remuneration: salary and equity package reflecting ownership and contribution to Briink’s success.
• Purpose‑driven mission: Leverage ESG data’s power to create a more sustainable world through AI.
• Flexible working: Hybrid role with office in Berlin or London, plus remote work within European time zones.
• Trust and ownership: Empowered projects with growth opportunities and autonomy.
• Dynamic work environment: Collaboration with AI startups and experts at the Merantix AI Campus, Berlin.
• Quarterly hackathons: Regular hackathons and a learning budget to prototype new ideas and experiment with technology.

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