Position overviewPosted 1 day ago

Senior AI Engineer (Senior-Lead level)

Sertis →
Not specified4+ years of experience as an AI/ML Engineer and 2+ years in a technical team lead or management role

Bangkok, Bangkok Metropolis, Thailand

Compensation
THB 80,000 - THB 140,000
THB / month

Estimated range. Confirm compensation with the employer.

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Listing record updated: November 13, 2026. We archive records after 60 days without an update. This date does not confirm that the employer is still hiring.

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About the position

Sertis is seeking a Senior-Lead AI Engineer to lead and mentor a team of AI engineers while planning AI initiatives, allocating resources, reviewing performance, and collaborating with cross-functional teams and clients. The role includes productionizing advanced data science, optimizing models, managing deployment across diverse hardware, and developing scalable training, MLOps, API, pipeline, and model-inference infrastructure. The engineer will also work with foundation models, build agentic systems, troubleshoot generative AI implementations, and maintain technical documentation.

The successful candidate has at least 4 years of AI/ML or software development experience, including at least 2 years in a technical team lead or management role. Requirements include strong programming skills, generative AI application development, hands-on LLM API experience with OpenAI or Hugging Face, knowledge of REST APIs, Git, CI/CD, and MLOps, cloud experience with AWS, GCP, or Azure, and Docker and containerization skills. Strong communication, problem-solving, architecture, scoping, and technical mentorship abilities are also required.

Responsibilities

  • Lead and mentor a team of AI engineers and support their professional development
  • Plan AI initiatives, manage project roadmaps, allocate resources, and set data-driven goals
  • Conduct performance reviews and provide continuous constructive feedback
  • Collaborate with cross-functional teams and clients to define requirements and design ML solutions
  • Develop and maintain scalable infrastructure for model training, deployment, MLOps, APIs, and inference pipelines

Requirements

  • 4+ years of experience as an AI/ML Engineer and 2+ years in a technical team lead or management role
  • Strong programming skills in Python, C++, or other machine learning languages
  • Understanding of generative AI concepts and hands-on experience with OpenAI or Hugging Face APIs
  • Understanding of REST APIs, Git version control, CI/CD, and MLOps principles
  • Experience with AWS, GCP, or Azure, Docker, and containerization

Nice to have

Experience building agentic systems from scratch; troubleshooting generative AI implementations; scoping projects and designing architectures; technical mentorship of junior engineers

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