Generative AI Engineer

• Build and deploy end-to-end GenAI capabilities, from model integration through to production APIs
• Integrate and optimise LLMs using prompt engineering, RAG, and tool/agent patterns
• Develop conversational and agentic workflows that support complex planning use cases
• Own model quality, latency, reliability, and cost efficiency in production
• Implement evaluation frameworks, monitoring, and observability for GenAI systems
• Collaborate with product and UI engineers to ensure GenAI features are usable and intuitive
• Iterate quickly based on real user feedback and system metrics

We're seeking a versatile GenAI Engineer who can work across the full stack of GenAI applications, from model integration and prompt engineering to building intuitive user interfaces. You'll build production-ready AI features that empower business users to leverage the power of GenAI within their planning workflows, requiring both deep ML knowledge and strong software engineering skills., * 4+ years of software engineering experience with 2+ years focused on ML/AI systems

• Strong programming skills in Python including experience with ML frameworks (PyTorch, TensorFlow, Transformers)
• Experience building and deploying LLM-powered applications in production
• Proficiency in front-end development with React, TypeScript, and modern web technologies
• Understanding of RESTful API design, microservices architecture, and cloud infrastructure
• Experience with prompt engineering, RAG systems
• Strong foundation in ML fundamentals including NLP, time-series analysis, or recommender systems
• Familiarity with containerization (Docker), orchestration (Kubernetes), and CI/CD pipelines