Related skills
react python kubernetes pytorch typescriptπ Description
- Develop end-to-end GenAI features: APIs, model integration, monitoring.
- Integrate and optimize LLMs for planning, incl. prompt engineering and RAG.
- Build conversational interfaces and workflows for natural-language planning tasks.
- Implement evaluation frameworks to measure GenAI quality (accuracy, latency, user satisfaction).
- Design APIs exposing AI capabilities to Anaplan's platform and integrations.
- Optimize inference pipelines for performance, cost, and scale.
π― Requirements
- Software engineering with a focus on ML/AI systems.
- Python with ML frameworks (PyTorch, TensorFlow, Transformers).
- Experience deploying LLM-powered apps in production.
- Front-end skills: React and TypeScript.
- RESTful APIs, microservices and cloud infrastructure.
- Docker, Kubernetes, and CI/CD pipelines.
π Benefits
- Hybrid work in Manchester office twice a week.
- Work on cutting-edge GenAI and enterprise planning.
- Collaborative, diverse culture with growth opportunities.
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