Job description
ABOUT THE JOB
- Design and deliver end-to-end production AI systems, from problem definition and solution architecture to deployment, monitoring, and maintenance.
- Build and integrate AI solutions such as LLM applications, AI agents, RAG, computer vision, and machine-learning models.
- Design AI architecture, data flows, APIs, model pipelines, evaluation methods, and production workflows.
- Develop reliable AI services using Python, FastAPI, REST APIs, LangChain, LangGraph, Hugging Face, or similar technologies.
- Integrate AI components with backend services, databases, external APIs, and enterprise workflows.
- Optimise AI systems for quality, latency, scalability, cost, and reliability through evaluation, monitoring, and workflow optimisation.
- Deploy and maintain applications using Docker, Linux, Microsoft Azure, AKS, Kubernetes, or equivalent cloud technologies.
- Collaborate with cross-functional teams, document technical solutions, explain design trade-offs, and contribute to clean-code and engineering best practices.
- Deliver production systems beyond Proofs of Concept and support troubleshooting and continuous improvement.
ABOUT YOU
- Bachelor’s or Master’s degree in Computer Science, AI, ML, Software Engineering, or a related technical field. Candidates from UIT, VNU, HCMUT, HCMUTE, or equivalent universities are preferred.
- 2+ years of AI/ML engineering experience, with 3+ years preferred, and hands-on experience delivering systems to production.
- Strong understanding of the end-to-end AI lifecycle: problem definition, architecture, implementation, evaluation, deployment, and monitoring.
- Able to explain personal ownership, architecture, technical decisions, alternatives, and trade-offs in previous projects.
- Practical experience with LLMs, AI agents, RAG, computer vision, or applied machine learning.
- Strong Python and backend experience with FastAPI, REST APIs, Docker, Linux, and cloud deployment.
- Familiarity with vector databases, databases, asynchronous workflows, distributed systems, or event-driven architectures.
- Knowledge of AI evaluation, inference optimisation, monitoring, reliability, testing, and maintainable software engineering practices.
- Good problem-solving, collaboration, adaptability, and English communication skills.
- Candidates whose experience is mainly academic or PoC-based, without production ownership, may not be suitable for this role.
WHY AMARIS?
- Competitive salary and 13th-month salary
- 14+ annual leave days per year
- Premium healthcare insurance starting from your probation period
- Regular project reviews and yearly performance appraisal
- Annual company trip
- Team-building activities: team lunch/dinner, events and celebrations, sports clubs (football, basketball, badminton, pickleball)
- International working environment
- Tailor-made career path and clear growth opportunities
- Technical workshops and training courses (internal & external)
- Mobility opportunities to work on-site in our offices in 60+ countries
Equal Opportunity
Amaris Consulting is proud to be an equal opportunity workplace. We are committed to promote diversity within the workforce and creating an inclusive working environment. For this purpose, we welcome applications from all qualified candidates regardless of gender, sexual orientation, race, ethnicity, beliefs, age, marital status, disability, or other characteristics.
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Who are we?
Amaris Consulting is an independent technology consulting firm providing guidance and solutions to businesses. With more than 1000 clients across the globe, we have been rolling out solutions in major projects for over a decade – this is made possible by an international team of 7,600 people spread across 5 continents and more than 60 countries. Our solutions focus on four different Business Lines: Information System & Digital, Telecom, Life Sciences and Engineering. We’re focused on building and nurturing a top talent community where all our team members can achieve their full potential. Amaris is your steppingstone to cross rivers of change, meet challenges and achieve all your projects with success.At Amaris, we strive to provide our candidates with the best possible recruitment experience. We like to get to know our candidates, challenge them, and be able to give them proper feedback as quickly as possible. Here's what our recruitment process looks like:
Brief Call: Our process typically begins with a brief virtual/phone conversation to get to know you! The objective? Learn about you, understand your motivations, and make sure we have the right job for you!
Interviews (the average number of interviews is 3 - the number may vary depending on the level of seniority required for the position). During the interviews, you will meet people from our team: your line manager of course, but also other people related to your future role. We will talk in depth about you, your experience, and skills, but also about the position and what will be expected of you. Of course, you will also get to know Amaris: our culture, our roots, our teams, and your career opportunities!
Case study: Depending on the position, we may ask you to take a test. This could be a role play, a technical assessment, a problem-solving scenario, etc.
As you know, every person is different and so is every role in a company. That is why we have to adapt accordingly, and the process may differ slightly at times. However, please know that we always put ourselves in the candidate's shoes to ensure they have the best possible experience.
We look forward to meeting you!