AI Engineer

ABOUT THE ROLE:

As an AI Engineer, you will build upon foundational knowledge to independently design, develop, and maintain AI systems. You are adept at leveraging machine learning algorithms and deep learning frameworks, capable of taking a specific project, breaking it down into necessary steps, and executing them autonomously. You serve as a crucial bridge between high-level concepts and detailed implementation, ensuring the successful execution of AI initiatives.

KEY RESPONSIBILITIES:

• Collaborate closely with the project team, including the Senior AI Engineer/ SA providing architectural guidance, to contribute to key phases of the AI project lifecycle, from gathering business requirements to solution delivery, and deliver project outcomes to internal stakeholders or external customers.
• Engages with clients to understand business needs, present findings, and align technical work with stakeholder goals.
• Provides structured feedback to junior members, supports onboarding, and contributes to skill-building within the project team.
• Developing scalable AI systems and designing/building algorithms that automate predictive data models.
• Creating and managing the AI development and production infrastructure, including automating AI infrastructures for AI teams.
• Participating in all phases of AI solutions development, from requirements definition and design to development, deployment, integration, maintenance, performance tuning, and monitoring.
• Collaborating extensively with cross-functional teams, including data scientists, software engineers, and product managers, to define project requirements, ensure seamless progress, and facilitate AI adoption and best practices.

QUALIFICATIONS & SKILLS:

• Education & Experience Education: A Bachelor's degree in a technical field such as CS, AI, or Data Science, or equivalent practical experience. A Master's degree is a plus.
• Experience: at least 3 years of professional experience building and shipping software, with a focus on AI/ML systems.
• Technical Proficiency Familiarity with cloud platforms (AWS, Azure, GCP). Proficiency with containerization (Docker, Kubernetes) and modern CI/CD practices for production environments.
• Experience in building or prototyping features with GenAI capabilities (LLMs, Embeddings, Fine-Tuning, Agentic) and core NLP concepts. Experience in agentic frameworks (eg. LangChain, MCP, Google ADK) for building LLM-powered applications. Experience with reinforcement learning, especially RLHF or applying RL to agent-based systems. Able to communicate effectively within the team members.
• The ability to work independently, troubleshoot complex issues, and mentor more junior team members is also expected. Strong problem-solving skills and a data-driven mindset are fundamental.
• Develop and implement the evaluation frameworks to test and benchmark generative AI solutions for both quantitative and qualitative metrics.
• Experience with high-performance computing, GPU optimization, and building for low-latency environments is a strong plus. Fluent verbal in English (e.g., above IELTS 6.5 or TOEIC 750 is preferred).

BENEFIT:

• Group benefit (Lunch support, Gasoline support).
• Working days/week (From Monday to Friday).
• 2 days WFH/week (based on the team's decision).
• Health, Social, and Unemployment Insurance (based on contractual salary, according to Labor Code) and PVI Health Insurance, yearly health-checkup.
• 13th-month salary and performance bonus.
• 12 days annual leave plus extra 02 days of company leave and national holiday leaves.
• Technical certificate fee support.
• Project allowance if any.
• Company trips, sponsored team building, monthly Happy Hour, Sports Clubs (Soccer, Badminton, Ping-Pong, Yoga), and other joyful events.