Junior AI Engineer - LLM (Python, Machine Learning)

Top 3 reasons to join us

• Mức lương cạnh tranh theo năng lực
• Cập nhật áp dụng công nghệ mới theo xu hướng
• Môi trường trẻ, năng động, nhiều cơ hội phát triển

Job description

TMT is a pioneer in providing Software-as-a-Service (SaaS) technology solutions in Vietnam. Trusted by over 30,000 customers, TMT leads the way in applying technology to SME and E-commerce sectors through software products such as TPOS, TDental, and more, helping clients manage and optimize their business operations. 

Currently, TMT is looking for an AI Engineer - LLM to collaborate directly with the AI Team as well as TMT's product development team on upcoming software development projects.

Job Summary:
The Junior LLM Engineer is responsible for data quality operations, monitoring SOTA research, maintaining the Knowledge Store, optimizing LLM performance, and building demos/MVPs to ensure data quality, continuous technical updates, and model excellence in accordance with product requirements.

Key Responsibilities:
- Execute data cleaning, deduplication, and quality filtering within the automated data pipeline.
- Implement and maintain data quality validation rules and quality gates (Senior design, Junior implement).
- Support data annotation workflow operations (Senior owns system design).
- Track and document open-source models and the latest research papers (LLM, VLM, Multimodal LM).
- Run standard benchmark comparisons for new models (Senior defines benchmarks, Junior executes).
- Execute LoRA/QLoRA fine-tuning for task agents (Senior defines strategy, Junior owns execution).
- Build training and test datasets for tasks (Senior defines requirements, Junior owns dataset creation).
- Tune and optimize model parameters and hyperparameters for optimal product performance (deployment configurations are owned by Senior).
- Build web apps/demos/MVPs to showcase LLM capabilities.
- Utilize AI Coding Agents (Claude Code, Cursor) for rapid frontend component development.
- Integrate demo applications with LLM APIs (inference endpoints, model serving).

Your skills and experience

1. Required Qualifications
- Bachelor's degree in Computer Science, Data Science, AI, or a related field.
- 1+ year of experience in an AI Engineer - LLM role.
- Solid foundation in Python programming.
- Basic understanding of Machine Learning concepts, data structures, algorithms, REST APIs, and databases (SQL/NoSQL) .
- Basic knowledge of HTML, CSS, and JavaScript .
2. Key Skills Required
- Interest in reading research papers and technical documentation.
- Familiarity with or willingness to learn AI Coding Agents (Claude Code, Cursor).
- Good communication skills (Vietnamese + basic English).
3. Preferred Qualifications
- Basic knowledge of UI frameworks (React, Vue, Svelte, etc.).
- Experience with data quality tools and validation frameworks.
- Experience building web demos or MVPs (any framework).
- Understanding of the Hugging Face ecosystem (Transformers, Datasets, Evaluate).
- Experience with ML experiment tracking tools (MLflow, Weights & Biases). 

Why you'll love working here

1. Salary and Bonuses
- Competitive salary based on capability, with annual performance and salary reviews.
- 13th-month salary and bonuses for national holidays, Lunar New Year, etc.
2. Insurance and Healthcare
- Statutory insurances (Social Insurance, Health Insurance, Unemployment Insurance), trade union participation, and full benefits in accordance with Labor Law.
- Annual health check-ups.
- Paid leave policies for maternity, medical treatment, etc.
3. Work Environment and Career Progression
- Young, dynamic work environment at one of the leading technology companies specializing in management solutions that deliver utility to the
community. Our software products were honored with the Sao Khue Award 2021 and are highly regarded by the tech community and media.
- Experience a warm, friendly TMT culture with diverse internal engagement activities.
- Open, transparent, and well-defined career advancement opportunities.
4. Training and Team Activities
- Free access to company-sponsored training programs and professional workshops.
- Unleash your creativity and participate in weekly sports/recreational clubs (Football, Badminton, etc.).
- Annual company trips and team-building activities.