AI Software Engineer

1 week ago


Bangkok, Bangkok, Thailand SKY ICT PUBLIC COMPANY LIMITED Full time

Key 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.


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