AI Engineer / MLOps Engineer (AI Solutions Provider)

AI Engineer

Responsibilities:

LLM Model Optimization

• Lead fine-tuning and optimization of large language models (LLMs) to improve accuracy and robustness in call-center scenarios.
• Design and implement conversation pipelines and plugin architectures using LangChain and LangGraph for efficient, scalable query and retrieval workflows.

Retrieval-Augmented Generation (RAG) & Knowledge-Based Construction

• Architect and build RAG workflows: set up vector stores, retrieval modules, and integrate them with LLMs to generate context-aware responses.
• Collect, clean, annotate, and preprocess datasets, design automated pipelines for ingestion and continuous knowledge base updates.

System Integration & Engineering

• Develop production-grade Python services on Linux, writing clean, maintainable, and scalable code.
• Containerize and orchestrate model services using Docker and Kubernetes; establish CI/CD pipelines for automated builds, tests, and deployments.

Performance Monitoring & Continuous Iteration

• Integrate and optimize third-party speech and language services, developing custom connectors as needed.
• Implement monitoring and logging systems; analyze key metrics (latency, throughput, accuracy) and recommend performance improvements.

Qualifications:

Experience

• Minimum 5 years of experience in software development, with at least 2 years in the AI domain.
• Programming & Frameworks
• Expert in Python and at least one deep learning framework (TensorFlow, PyTorch, or JAX).
• Hands-on experience with LLM fine-tuning, prompt engineering, LangChain, and LangGraph.

Data & Algorithms

• Strong understanding of vector embedding techniques and experience with tools such as Qdrant, FAISS, Annoy, or Pinecone.
• Proven ability to design and maintain end-to-end data pipelines (collection, cleaning, annotation, splitting).

Systems & Deployment

• Minimum 1 year of production-level software development on Linux.
• Proficient in Docker and Kubernetes, with experience designing microservices architectures.
• Familiarity with CI/CD platforms (Jenkins, GitLab CI/CD, GitHub Actions) is a plus.

Preferred Qualifications:

• Deep knowledge of vector database internals and operations (e.g., Qdrant, Milvus, Weaviate, Pinecone).
• Experience deploying multi-tenant online services with auto-scaling.
• Familiarity with an additional backend language (Go, C++) or frontend frameworks (React, Vue).
• Background in integrating AI into financial, e-commerce, or telecom call-center platforms.
• Publications in related fields or significant open-source contributions.

MLOps Engineer

Responsibilities:

• Design and maintain end-to-end ML/LLM system development and operations in production.
• Build CI/CD pipelines for AI model development and orchestration, enabling continuous delivery and automation of AI workloads.
• Manage the full lifecycle of generative AI models (GenAIOps) development, deployment, and operations.
• Deploy and optimize workloads across on-premise and cloud environments.

Requirements :

• Minimum 2 years of experience in the AI domain.
• Hands-on experience with GPU infrastructure (e.g., H100, T4) and GPU stack management.
• Experience with model serving and orchestration frameworks such as Ray Serve.
• Strong background in CI/CD, automation, and integrating AI into enterprise applications.
• Familiarity with both on-premise and cloud deployment.

Employee Benefits:

• Compensation: Annual salary reviews, performance-based bonuses, and housing loan support.
• Financial Wealth: 5% Provident Fund employer match and Employee Joint Investment Program (EJIP).
• Milestone Gifts: 5,000 – 10,000 THB cash allowance for major life events.
• Medical & Health: Premium IPD/OPD health insurance, accident insurance, and annual health check-ups.
• Wellness & Dental: 1,500 THB/month fitness subsidy and 2,000 THB/year dental allowance.
• Annual Leave: 8-14 days of Annual Vacation, 7 days of Personal Leave, plus Birthday Leave.
• Special Life Event Leave: Fully paid special leave for major life events (e.g., maternity, ordination, etc.).
• Daily Subsidies: 75 THB/day food allowance and a 15% cafe discount.
• Travel & Commuting: 1,000 THB/month parking & Grab Business for meetings.
• Learning & Growth: Dedicated Learning & Development budget for professional courses and skill training.