AI Engineer and Data Specialist
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Before you apply
LocationBangkok, Bangkok, Thailand
Work modehybrid
Typefull-time
SeniorityEntry
Experience1–3 yrs
DepartmentTechnology
Company size51–200 people
PostedSep 24, 2026 · 1mo ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
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
Practical proficiency in Python for data handling, API calls, JSON, and writing small scripts/services
Practical proficiency in SQL for querying, joining, and aggregating data
Experience with at least one BI / dashboarding tool
Hands-on experience using LLM / AI APIs in projects
Ability to structure problems and work independently
Ability to communicate clearly in Thai
Working proficiency in English for tools and communication
Skills
Python
pandas
NumPy
SQL
MySQL
PostgreSQL
Looker Studio
Metabase
Power BI
Tableau
LLM APIs
FastAPI
Flutter
Node.js
Go
Google Cloud Platform
GKE
Cloud Run
Benefits
Health insurance
Annual leave
Mental health
Social security
Pension
Annual health checkup
Home loan benefit
Equipment subsidy
Key Responsibilities
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Design, build, and optimize LLM pipelines including retrieval, context assembly, grounding, prompting, and tool-calling.
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Develop RAG systems using vector databases, metadata design, chunking strategies, and hybrid retrieval approaches.
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Build agentic workflows and function-calling systems capable of reasoning, planning, and executing tasks.
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Evaluate model performance using structured test suites, synthetic QA generation, and benchmark datasets.
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Work closely with product and domain experts to translate ambiguous requirements into clear, structured LLM tasks.
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Diagnose and mitigate failure modes such as hallucinations, retrieval misses, and context collisions.
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Apply lightweight fine-tuning or LoRA when needed for task-specific improvements.
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Develop and maintain backend components for LLM pipelines (FastAPI, event systems, queues).
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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).
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Ensure all AI features are grounded, safe, testable, reproducible, versioned, and backed by real evaluation—not guesswork.
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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.
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Build end-to-end applications by developing high-performance backend microservices with Node.js/Go and integrating user-facing interfaces using Flutter.
Requirements
•
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
•
Hybrid
•
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)