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AI Summary
Our client is scaling fast - new features, new customers, new challenges - and their platform processes over 200 million events every day. They build an AI-powered performance product for customer support teams, blending gamification and machine learning to help teams work smarter. You'll join a small, senior engineering team building the next generation of their backend, where Python powers the AI and LLM features (70%) and Scala drives the event-streaming core (30%). This is a hands-on role for an engineer who thrives on both experimentation and production rigour - comfortable prototyping in Python, and confident enough in Scala to ensure everything scales, performs, and holds up under load.
Key Responsibilities
- Design and build RESTful APIs and streaming services powering the product and analytics layers
- Develop features across Python (70%) and Scala (30%), from rapid prototypes to hardened production systems
- Run data pipelines processing hundreds of millions of daily events using Kafka and Akka Streams
- Optimise performance - offload CPU-bound tasks, design batching/backpressure mechanisms, and tune reliability
- Implement security best practices (OWASP) to protect data and user trust
- Work with LLMs (OpenAI, Anthropic, Vertex AI, Groq, DeepSeek) and help shape scalable AI service patterns
- Act as a bridge between the Scala engineers and the AI/Data Science team
- Collaborate with Product Managers and engineers to architect solutions that balance scalability, speed, and cost
Required Skills and Experience
- 3+ years of experience building backend systems with Python and Scala - strong in one, comfortable in both
- Proven ability to design and optimise Python services under load - balancing I/O and CPU-bound processing
- Solid hands-on experience with Kafka, event-driven systems, and streaming architectures
- Familiarity with Akka Streams or other streaming frameworks
- Strong fundamentals in software design: clean APIs, testing, CI/CD, observability
- Experience with data stores such as MongoDB, Elasticsearch, and ClickHouse
- Curiosity about AI/LLM stacks and scalable ML service design
- Collaborative spirit and a growth mindset
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