Business Support System Specialist

**Technology You Will Work With:** * Large language models consumed through APIs (Alibaba Qwen / Model Studio, Anthropic Claude, OpenAI and comparable providers). * Prompt engineering, system instructions, structured (JSON) outputs and tool / function calling. * Retrieval-augmented generation: embeddings, chunking and vector search. * Speech-to-text, text-to-speech and image and document recognition (OCR) services. * Python or TypeScript for the scripts, integrations and evaluations you write. * Evaluation, prompt versioning and observability tooling, with Git and GitHub for review and history. **Key Responsibilities:** * Design, write and iterate on the prompts and system instructions that drive the product's AI assistant, and version them the way code is versioned. * Turn business rules and operating procedures into instructions, examples and constraints that a model follows reliably. * Define and maintain the assistant's tools --- what each one does, the arguments it takes and when the model should reach for it --- working with engineers on the implementation. * Prepare the knowledge the assistant reads: collect, clean, chunk and structure source material, and keep it current as the business changes. * Build evaluation sets for every AI feature, run them on each change, and report accuracy, regressions and failure patterns with evidence rather than impressions. * Integrate and tune speech recognition and image or document recognition so they hold up on real user input, including accented speech and poor-quality photographs. * Investigate reported AI failures --- a wrong answer, an invented fact, a missed or mis-called tool --- and trace each one to its cause in the prompt, the retrieved data or the tool definition. * Monitor token usage, latency and cost per request, and propose changes that reduce them without weakening quality. * Test the assistant across the languages it serves and confirm it answers correctly in each of them. * Apply responsible-use practice: keep sensitive data out of prompts and logs, and flag outputs that should never be produced. * Write clear documentation of what the assistant can and cannot do, and update the in-app user manual whenever your change alters what a user sees or gets. **Requirements:** * Bachelor's Degree in Computer Science, Information Technology, Artificial Intelligence, Data Science, Engineering, or a related field. * 1--3 years of experience building with large language models or other AI services. Internships and substantial personal or open-source AI projects will be considered. * Demonstrable prompt engineering experience with a commercial LLM, and the judgement to explain why one prompt outperforms another. * Working understanding of how these models behave: tokens and context windows, temperature, embeddings, structured output, and the common causes of hallucination. * Comfortable reading and writing code to call APIs and process JSON --- Python or JavaScript / TypeScript is sufficient; you do not need to be a full-stack engineer. * Able to design test cases and evaluate model output objectively against them. * Familiarity with structured data: JSON, CSV and basic SQL. * Comfortable with Git and a pull-request based workflow. * Strong analytical, problem-solving and communication skills, with attention to detail. * Excellent command of written and spoken English.