bbv Vietnam

Overview of job

• Design and develop core AI components and frameworks that can be reused across projects. 
• Define common architectures, design patterns (blueprints), and technical standards for building AI-based systems. 
• Build and improve internal tools and platforms to support the development and deployment of AI solutions. 
• Work closely with Applied AI Engineers to ensure core components are practical and usable in real projects. 
• Optimize system performance, scalability, and reliability for AI-based applications. 
• Design and organize workflows for AI systems (e.g. LLM-based applications). 
• Analyze real business problems and translate them into working technical solutions. 
• Share knowledge, document solutions, and contribute to continuous improvement within the team.

• Competitive salary with full insurance coverage (medical, social, unemployment) based on net salary.
• 13th-month salary (paid semi-annually, with partial payment made mid-year rather than waiting until year-end).
• Performance review twice a year with bonus opportunities.
• Annual loyalty bonus (50% of monthly net salary from the 2nd year).
• Premium health insurance and annual health check-up.
• 14 days of leave, plus additional leave based on tenure.
• Daily perks: lunch allowance, free snacks/coffee, and sports activities.
• Learning & development support: training programs and certification sponsorship.
• English-speaking environment with tuition support.
• Team activities and events: company trips, team building, and holiday celebrations.
• Opportunity to work with international teams and join internal tech communities.

• 2+ years of experience in software engineering, with hands-on experience in building AI systems using Python.
• Good understanding of software architecture and system design.
• Experience developing production-ready applications (reliability, performance, scalability).
• Familiarity with LLM-based applications or modern AI tools is a strong advantage.
• Experience with some of the following tools/technologies is a plus: JupyterLab, Playwright, SearXNG, MinrU, LiteLLM, Presidio, NATS, Open WebUI, Milvus, PostgreSQL, SeaweedFS, Redis, and OpenTelemetry.
• Experience in building reusable components, libraries, or frameworks is preferred.
• Ability to communicate clearly with both technical and non-technical stakeholders.
• Good English communication skills (both speaking and writing).