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