LOCATION
LEVEL
EMPLOYMENT TYPE
About Us
DataHouse, a member of the ʻike Group, is a prominent software development company with three branches located in Da Nang, and Ho Chi Minh, Vietnam. As part of the ʻike Group, a growing collective of innovators, technologists, and entrepreneurs, we are closely affiliated with DataHouse Consulting, our sister company founded in 1975 in Hawaii, US.
As one of the most prestigious software development companies in Vietnam, we provide end-to-end services for great enterprises, governments, and start-ups. With over 10 years of experience in the software engineering industry, we have successfully collaborated and delivered our high-quality software projects to partners in 19 countries worldwide.
Job Summary
The Senior AI Engineer is a key member of our AI Team, leading the design, development, and deployment of production-grade AI solutions. This role takes ownership of complex machine learning and generative A initiatives, mentors junior engineers, and partners cross-functionally to translate business problems into scalable, reliable AI systems. We’re looking for someone with deep technical expertise in machine learning, LLMs, and agentic AI who can balance hands-on engineering with technical leadership and architectural decision-making.
Main Accountabilities
- Lead the design, development, and deployment of machine learning models and AI systems from concept through production.
- Architect and implement scalable AI solutions using best practices, applying sound judgment on technology and design trade-offs.
- Drive the full machine learning lifecycle-data strategy, feature engineering, model development, evaluation, deployment, and ongoing monitoring.
- Collaborate with and influence data scientists, data analysts, software engineers, and product managers to define requirements and shape technical direction.
- Design and build robust APIs and services that expose ML models for integration across applications and teams.
- Own the development of LLM-based applications, including advanced prompt engineering, RAG pipelines, fine-tuning, and systematic performance evaluation.
- Design and implement agentic AI workflows, including tool use, multi-step reasoning, orchestration, and multi-agent systems.
- Establish engineering standards, conduct code reviews, and mentor junior and intern engineers to raise the technical bar across the team.
- Stay ahead of AI and ML trends-particularly in LLMs, generative AI, and agentic AI—and evaluate emerging techniques for practical adoption.
- Partner with stakeholders to balance technical feasibility, performance, cost, and timelines.
Job Qualifications
Education
Graduated in a related field (Information Management/Informatics, Computer Science/ Engineering, Data Science, Mathematics/Statistics, Business/Finance).
Experience & Skills
- Essential:
- 5+ years of experience building and deploying machine learning models, with a track record of delivering AI systems in production.
- Strong command of machine learning concepts, algorithms, and the end-to-end ML lifecycle.
- Advanced Python programming skills and deep proficiency with libraries such as NumPy, Pandas, and PyTorch (or TensorFlow).
- Hands-on experience building LLM and generative AI applications, including prompt engineering (zero-shot, few-shot, chain-of-thought), RAG pipelines, and vector databases.
- Practical experience designing and deploying agentic AI systems-AI agents, tool calling, and multi-step reasoning workflows.
- Experience building and deploying production APIs and services (e.g., REST, FastAPI) for serving ML models.
- Solid software engineering fundamentals, including Git, version control, testing, and CI/CD practices.
- Proven ability to mentor engineers and lead technical projects to completion.
- Strong problem-solving skills, sound technical judgment, and the ability to operate with autonomy.
- Excellent English communication and cross-functional collaboration skills.
- Desirable:
- Experience fine-tuning or optimizing LLMs, and evaluating model performance at scale.
- Hands-on experience with frameworks such as LangChain, LangGraph.
- Proficiency with cloud platforms (AWS, GCP, or Azure) and MLOps tooling (e.g., Docker, Kubernetes, model monitoring).
- Experience with distributed training, model serving infrastructure, or large-scale data pipelines.
- Contributions to open-source projects, publications, or a strong portfolio of AI/ML work.
Compensation Package
With a human-centric spirit, we offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, bonuses, as well as benefit programs which include health and wellbeing, learning and development, and benefits at work.
With a human-centric spirit, we offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, bonuses, and benefits programs including health and well-being, learning and development, and benefits at work.
- Competitive salary package
- Monthly entertainment/team building allowances & project/team celebrations for certain milestones (applied for project teams and back office).
- Working tools: laptop and widescreen provided.
- Opportunities to work alongside a fun and global team with international/US clients.
- On-site program to explore various cultures in multi-cities in Vietnam and the US for all levels.
