Product Engineer (Backend/AI) @Briink

About This Opportunity

We are representing a confidential AI technology firm operating in the sustainability sector. Our client works with major climate organizations and multinational enterprises to automate how environmental data is collected, analyzed, and acted upon. Their platform impacts sustainability workflows for thousands of organizations worldwide.

As a Backend/AI Product Engineer, you'll join a small, high-ownership team building AI-powered products for sustainability professionals. This role combines strong backend engineering with applied AI/LLM development and product judgment. You'll own features end-to-end—from user discovery through technical implementation to scaled deployment.

Responsibilities

• Own product features from user problem definition through delivery, measurement, and iteration
• Design and build scalable backend systems including APIs, data models, workflows, and infrastructure for enterprise products
• Build and ship applied AI/LLM features such as LLM chains, RAG systems, tool-using agents, structured-output pipelines, and evaluation workflows
• Create reusable platform building blocks that support multiple user journeys rather than solving problems in isolation
• Improve system robustness by strengthening reliability, testing, observability, performance, and maintainability
• Work directly with users and product teams, using qualitative feedback and data to understand problems and evaluate solutions
• Prototype and test new AI capabilities, turning promising ideas into practical product improvements
• Collaborate through pair programming, technical design discussions, and shared problem-solving

What We're Looking For

Required:

• Strong professional backend engineering experience with a track record of shipping reliable production systems
• Experience in small, high-ownership product teams, ideally within startup or scale-up organizations (5–20 engineers)
• Evidence of shipping meaningful products end-to-end rather than narrow components
• Strong experience in Python (or willingness to become productive in Python quickly from Java, Ruby, or TypeScript)
• Strong API, database, and systems design skills with ability to model complex workflows
• Applied AI/LLM experience or strong interest, ideally involving RAG, retrieval, tool use, agents, structured outputs, or evaluation systems
• Solid software quality mindset including testing, code review, CI/CD, and observability
• Cloud and container experience with understanding of production workload deployment and scaling
• Fluent English (C1+), written and spoken

Preferred:

• Experience building workflow, reporting, questionnaire, or complex B2B SaaS products
• Familiarity with FastAPI, PostgreSQL, background queues
• Experience with LangChain, LangSmith, or similar LLM frameworks
• Deeper experience with RAG, retrieval, agents, LLM evaluation, and production AI systems
• Experience improving latency, cost, and reliability for AI workloads
• Knowledge of ESG, sustainability, climate tech, or corporate reporting
• German language skills

Who You Are:

• Kind, collaborative communicator who creates supportive team environments
• Mission-driven with interest in using technology for sustainability and climate action
• Sharp and curious, learning quickly and getting to the root of difficult problems
• Product-minded builder who focuses on user problems and creating value
• Highly self-directed, thriving with autonomy and ambiguity
• Pragmatic and action-oriented, moving from ideas to production efficiently
• Opinionated but open-minded with constructive challenge approach
• Commercially aware, balancing technical quality with business value and speed

How We Work With You

When you apply through Get A Job.ai, our talent team will review your profile and conduct an initial screening. If there's a strong match, we'll submit your candidacy to our client for consideration and guide you through their interview process. Please do not attempt to contact the client directly, as all communication should flow through our recruiting team to ensure the best experience for everyone involved.

Location: Berlin-based or London-based candidates strongly preferred, with flexible hybrid arrangements available.

Pay

Compensation details including salary range and equity will be discussed during the screening process with Get A Job.ai.

Equal Opportunity: Get A Job.ai is committed to inclusive recruiting practices and welcomes applications from candidates of all backgrounds. We evaluate candidates based on skills, experience, and potential regardless of race, religion, national origin, gender identity, sexual orientation, disability, age, or veteran status.