Machine Learning Engineer
Summary
Build and deploy production-grade AI systems using LLMs, RAG pipelines, and AI agents for enterprise GenAI applications.
We are seeking a Machine Learning Engineer / AI Engineer building production-grade AI solutions across LLMs, AI agents, and enterprise GenAI applications.
This role sits within an agile AI & ML engineering environment focused on developing scalable AI systems from experimentation through to deployment.
What you'll be working on:
- Building and deploying LLM-powered applications
- Developing RAG pipelines and AI agent workflows
- Creating multi-agent systems with tool/function calling capabilities
- Optimising prompts, reasoning workflows, and model performance
- Collaborating closely with engineering, platform, and data teams to productionise AI solutions
Ideal background:
- 3–6 years in ML Engineering, Applied AI, Data Science, or AI Engineering
- Strong Python engineering skills
- Hands-on experience with LLMs and Generative AI systems
- Experience with LangChain, LangGraph, LlamaIndex, CrewAI or similar frameworks
- Exposure to production deployment, APIs, cloud environments, MLOps, or DevOps practices
- Experience building RAG systems or agentic AI workflows is highly preferred
This is a strong opportunity for someone who enjoys solving real-world engineering challenges and wants to work on practical enterprise AI use cases rather than purely research-focused projects.
If you're interested, feel free to apply or reach out directly for a confidential discussion.