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. Good verbal in English.

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.

AI Engineer (Middle, Senior Level)