Related skills
react python kubernetes pytorch typescript📋 Description
- Develop end-to-end GenAI features: backend services, model integration, monitoring.
- Integrate and optimize LLMs for business planning, including prompt engineering.
- Build conversational interfaces and agentic workflows for planning tasks.
- Implement evaluation frameworks to measure GenAI quality (accuracy, latency).
- Design APIs exposing AI capabilities to Anaplan and integrations.
- Optimize model inference pipelines for performance, cost, and production scalability.
🎯 Requirements
- Software engineering experience focusing on ML/AI systems.
- Proficiency in Python with ML frameworks (PyTorch, TensorFlow, Transformers).
- Frontend development with React, TypeScript, and modern web tech.
- Experience deploying LLM-powered apps in production.
- RESTful API design, microservices, and cloud infrastructure.
- Prompt engineering and RAG systems experience.
- Bachelor's degree in CS or ML, or related field.
- Familiarity with Docker, Kubernetes, and CI/CD pipelines.
🎁 Benefits
- Join a values-based Winning Culture focused on customers success.
- Onsite in Manchester, UK twice a week for collaboration.
- Work with cutting-edge GenAI for enterprise planning.
- Grow skills across ML engineering and full-stack development.
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