BJAK Logo

BJAK

VP of Engineering, Applications

Posted 17 Days Ago
Be an Early Applicant
In-Office or Remote
Hiring Remotely in Singapore, SGP
Senior level
In-Office or Remote
Hiring Remotely in Singapore, SGP
Senior level
The VP of Engineering leads application strategy for AI chat products, managing teams and ensuring quality and reliability across platforms.
The summary above was generated by AI
About the Role

A1 is building a proactive AI chat app for everyday users to bring intelligence to conversations, errands, organising and workflows. Unlike traditional chat-based applications, our product focuses on achieving high reliability for long-running workflows, persistent context, and real-world task completion. The system must handle multi-step reasoning, interact with external tools, and remain reliable despite non-deterministic model behavior.

Turn intelligence into a real product. You are responsible for the engineering systems, teams, and execution that turn ML capability into reliable, fast, and intuitive user experiences across backend, mobile, and desktop platforms.

This role is a senior engineering leader who stays close to the product, makes hard technical decisions, and holds a high bar for quality and delivery.


What You'll be Doing
  • Own the application engineering strategy and execution across backend, mobile, and desktop.

  • Lead and grow a small, senior applications team, including backend, mobile, and desktop engineers.

  • Set the architectural direction for AI-powered product workflows, APIs, and client integrations.

  • Ensure AI capabilities are integrated into the product with clear abstractions, predictable behavior, and graceful failure modes.

  • Partner closely with Machine Learning leadership to translate model capability into shippable product features.

  • Make high-impact decisions across latency, cost, reliability, security, and user experience.

  • Establish clear ownership boundaries across backend, mobile, and desktop to prevent architectural drift.

  • Ensure production readiness: observability, monitoring, retries, fallbacks, privacy, and cost controls.

  • Balance speed and discipline – shipping quickly without compromising long-term system quality.


What You Will Need
  • Significant experience leading application or product engineering for complex systems.

  • Strong hands-on background building and shipping backend systems used in production.

  • Experience delivering AI-powered products, with a deep understanding of model integration trade-offs.

  • Excellent system design skills across services, APIs, clients, and data flows.

  • Comfort operating across platforms (backend, mobile, desktop), even if your depth is in one.

  • Proven ability to make high-impact technical decisions under ambiguity.

  • A strong bias toward shipping, iteration, and learning from real-world usage.

  • Low ego, strong judgment, and the ability to raise the technical bar for the entire applications organization.


Outcomes
  • Reliable, low-latency AI user experiences across backend, mobile, and desktop

  • Clear architectural boundaries that allow teams to move fast without constant rewrites.

  • Measurable improvements in system performance, stability, and production reliability.

  • Strong observability and operational discipline across all application systems.

  • A small, senior team that ships frequently, owns what they build, and raises the technical bar.

  • Team members are empowered, growing in their roles, and able to make high-impact contributions.


How We Work

The best products today in the world were built by small, world class teams. We are a high talent density and hands-on team. We make decisions collectively, move at rapid speed, striking a balance between shipping high quality work and learning. Joining our team requires the ability to bring structure, exercise judgment, and execute independently. Our goal is to put in hands of our users a truly magical product


Interview process

If there appears to be a fit, we'll reach to schedule 3, but no more than 4 interviews.

Applications are evaluated by our technical team members. Interviews will be conducted via virtual meetings and/or onsite.

We value transparency and efficiency, so expect a prompt decision. If you've demonstrated the exceptional skills and mindset we're looking for, we'll extend an offer to join us. This isn't just a job offer; it's an invitation to be part of a team that's bringing AI to have practical benefits to billions globally.

Similar Jobs

2 Hours Ago
In-Office or Remote
Singapore, SGP
Mid level
Mid level
Artificial Intelligence • Fintech • Payments • Business Intelligence • Financial Services • Generative AI
The role involves collaborating with sales and marketing to optimize revenue operations, managing commercial operational tasks, and analyzing performance metrics to drive improvements.
Top Skills: Bi Tools (TableauDatabricks)ExcelGoogle SheetsGoogle SuiteLookerSalesforceSQL
2 Hours Ago
In-Office or Remote
Singapore, SGP
Mid level
Mid level
Artificial Intelligence • Fintech • Payments • Business Intelligence • Financial Services • Generative AI
As a Software Engineer II, you'll design and build AI-driven risk monitoring systems, automate review processes, and collaborate with cross-functional teams to enhance risk management solutions.
Top Skills: AirflowApache KafkaAWSBigQueryElasticsearchFlinkGCPJavaKotlinPythonSparkSpringSpring Boot
8 Hours Ago
Easy Apply
In-Office or Remote
Singapore, SGP
Easy Apply
Entry level
Entry level
Cloud • Security • Software • Cybersecurity • Automation
The Candidate Experience Specialist will manage candidate interactions, streamline hiring processes, and serve as a brand ambassador for GitLab, ensuring a quality experience from application to onboarding.
Top Skills: Google WorkspaceGreenhouse

What you need to know about the Singapore Tech Scene

The digital revolution has driven a constant demand for tech professionals across industries like software development, data analytics and cybersecurity. In Singapore, one of the largest cities in Southeast Asia, the demand for tech talent is so high that the government continues to invest millions into programs designed to develop a talent pipeline directly from universities while also scaling efforts in pre-employment training and mid-career upskilling to expand and elevate its workforce.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account