AI Engineer and Data Specialist

<h3><strong>Key Responsibilities</strong></h3><ul>
<li>Design, build, and optimize<strong>LLM pipelines</strong>including retrieval, context assembly, grounding, prompting, and tool-calling.</li>
<li>Develop<strong>RAG systems</strong>using vector databases, metadata design, chunking strategies, and hybrid retrieval approaches.</li>
<li>Build<strong>agentic workflows and function-calling systems</strong>capable of reasoning, planning, and executing tasks.</li>
<li>Evaluate model performance using structured test suites, synthetic QA generation, and benchmark datasets.</li>
<li>Work closely with product and domain experts to translate ambiguous requirements into clear, structured LLM tasks.</li>
<li>Diagnose and mitigate failure modes such as hallucinations, retrieval misses, and context collisions.</li>
<li>Apply lightweight<strong>fine-tuning or LoRA</strong>when needed for task-specific improvements.</li>
<li>Develop and maintain backend components for LLM pipelines (FastAPI, event systems, queues).</li>
<li>Prepare unstructured documents (PDFs, HTML, logs, knowledge bases) for ingestion and indexing in vector/RAG systems.</li>
<li>Support deployment across cloud or on-prem infrastructure (vLLM, TGI, Ollama, GPUs, token-budgeting).</li>
<li>Ensure all AI features are grounded, safe, testable, reproducible, versioned, and backed by real evaluation—not guesswork.</li>
<li>Design, deploy, and maintain cloud infrastructure on Google Cloud Platform (GCP) using GKE, Cloud Run, and CI/CD pipelines to support scalable LLM deployments and services.</li>
<li>Build end-to-end applications by developing high-performance backend microservices with Node.js/Go and integrating user-facing interfaces using Flutter.</li>
</ul><h2>Requirements</h2><ul>
<li>Bachelor’s degree in<strong>Computer Science, Data Science, Engineering, Information Systems, Statistics</strong>, or related field; or equivalent practical experience.</li>
<li>
<strong>1–3 years</strong>of experience in a<strong>data / AI / analytics / software</strong>role, or strong project portfolio demonstrating equivalent capability (strong fresh graduates will be considered if portfolio is solid).</li>
<li>Practical proficiency in<strong>Python</strong>for:</li>
<ul>
<li>Data handling (e.g. pandas, basic NumPy)</li>
<li>Calling APIs and working with JSON</li>
<li>Writing small scripts/services</li>
</ul>
<li>Practical proficiency in<strong>SQL</strong>(e.g. MySQL, PostgreSQL) for querying, joining, and aggregating data.</li>
<li>Experience with at least one<strong>BI / dashboarding tool</strong>(Looker Studio, Metabase, Power BI, Tableau, or similar).</li>
<li>Hands-on experience using<strong>LLM / AI APIs</strong>in projects (personal, academic, or production), not only theoretical knowledge.</li>
<li>Ability to structure problems, work independently on tasks, and deliver within agreed timelines.</li>
<li>Ability to communicate clearly in<strong>Thai</strong>, with working proficiency in<strong>English</strong>for tools, documentation, and some communication.</li>
</ul><h2>Benefits</h2><ul>
<li>Health Insurance</li>
<li>Hybrid</li>
<li>Annual Leave 12 days</li>
<li>Mental Health counseling sessions with psychiatrists and psychologists through ooca platform</li>
<li>Social Security Insurance</li>
<li>Provident Fund (condition applied)</li>
<li>Annual Health check-up (condition applied)</li>
<li>Special discount home loan interest with Government Housing Bank</li>
<li>BYOD policy: Personal laptops less than 3 years old are eligible for 1000 THB/month subsidy (registration required)</li>
</ul>