AI Engineer
HybridLondon, England, United Kingdom
Job Summary
Build Generative AI and AI agent solutions for customer operations, internal automation, and lending operations. Design prompts, workflows, and evaluation processes to make AI systems more reliable and useful while integrating LLMs with internal tools, APIs, databases, and business systems. Write clean, scalable Python code to prototype quickly, test ideas, and iterate based on real business needs. Collaborate with teams in the UK and Shenzhen to identify high-value AI use cases and improve production reliability through testing, logging, monitoring, and human review. Stay up to date with AI trends to propose practical applications that turn capabilities into measurable business impact.
Required Qualifications
- 1-3 years of hands-on experience in software engineering, AI, machine learning, automation, or related technical work
- Strong Python skills, including API integrations, data processing, async programming, and clean code practices
- Solid understanding of Generative AI concepts, including LLMs, embeddings, RAG, prompt engineering, structured outputs, and model limitations
- Familiar with prompt design patterns, evaluation methods, and techniques for improving reliability and reducing hallucination
- Interested in AI agents and workflow design, including tool calling, task planning, memory, orchestration, and human-in-the-loop systems
- Able to communicate clearly with both technical and non-technical teams
Desired Qualifications
- Ideally, 1-3 years of hands-on experience in software engineering, AI, machine learning, automation, or related technical work
- Practical LLM applications beyond simple chatbots or demos
- Experience with RAG, embeddings, structured outputs, function calling, or agentic workflows
- Understand how to evaluate AI outputs and improve reliability over time
- Worked with cloud AI platforms such as GCP Vertex AI, AWS Bedrock, Azure OpenAI, or similar tools
- Experience with financial services, consumer lending, credit risk, collections, or operations automation
- Experience with AI coding tools, such as Claude Code, Codex, or Cursor
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