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Jobs(31,365)/AI Engineer Role(768)/Abound (23) - AI Engineer
Abound

Abound - AI Engineer

Shenzhen, China3mo ago
In OfficeJuniorAPACFintechCloud ComputingAI EngineerClaudeCursorMandarinPythonGCP

Requirements

• 1+ 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 • Comfortable experimenting quickly, learning new tools, and turning ambiguous business problems into working solutions • Able to communicate clearly with both technical and non-technical teams • Fluent in English, including speaking, reading, and writing • Ways To Stand Out From The Crowd • 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 • What We Value • Strong problem-solving ability • Curiosity about how AI systems work under the hood • Product sense and business awareness • Bias for action and fast learning • Ownership, pragmatism, and attention to quality

Responsibilities

• 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 • Integrate LLMs with internal tools, APIs, databases, and business systems • Write clean, scalable, and maintainable Python code • Prototype quickly, test ideas, measure impact, and iterate based on real business needs • Collaborate with teams in the UK and Shenzhen to identify high-value AI use cases. • Help improve production reliability through testing, logging, monitoring, fallback handling, and human review where appropriate • Stay up to date with AI trends and propose practical ways to apply them in our business

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