As an ML Platform Engineer, you will build the infrastructure and systems powering ActAI's AI capabilities. You will design and operate the AI stack, from model training to deployment and inference.
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What we're looking for
Strong experience in full stack engineering (frontend + backend)
Solid understanding of system design and API architecture
Experience working with LLMs, RAG systems, or AI-powered applications
Ability to handle ambiguity and make pragmatic engineering decisions
Strong ownership - able to take features from idea to production
Comfort working in fast-moving environments with evolving requirements
The role
There are over 5 billion users using basic applications today such email, notes, tasks, calendar and they're not AI-native. Our mission is to build proactive applications for anyone in the world, who are not used to complex prompting. We aim to bring intelligence to conversations, errands, organising and workflows, with minimal to no prompting.
Our product focuses on achieving high reliability for long-running workflows, persistent context, and real-world task completion. We believe products will greatly reduce hallucinations.
Our objective is to organise anyone's life, allowing us all to spend time on valuable and meaningful things.
What you'll do
We are looking for a Full Stack Engineer - AI Systems to build the product layer that turns these capabilities into usable, production-grade workflows. This includes designing how agents operate, fail, recover, and deliver consistent value to users.
Build end-to-end product features across frontend, backend, and AI integrations
Design agent workflows that handle planning, tool use, failure, and recovery across multiple steps.
Integrate LLMs, memory, and external tools into systems that behave reliably under real-world conditions
Design real-time AI interactions with streaming, partial results, and tight latency constraints
Improve system reliability, observability, and fallback mechanisms
Collaborate closely with ML, backend, and product teams to ship features end-to-end
Continuously iterate based on real usage and failure modes
Own and ship AI-native product features that move beyond chat into persistent, goal-driven workflows
Design and deploy agent workflows that reliably complete multi-step tasks across tools and sessions
Reduce latency and improve responsiveness of AI interactions while maintaining output quality
Build robust fallback and recovery mechanisms for LLM and tool failures in production environments
Improve the success rate and reliability of AI-driven workflows through iteration, evaluation, and monitoring
Establish patterns and abstractions for integrating LLMs, memory, and external tools into scalable product systems
Contribute to a product experience where AI feels proactive, consistent, and dependable over time
Tech Stack
Next.js
Python
NodeJs
Pytorch
OpenAI / Anthropic / open-source LLMs
SQl & noSQL
Kubernetes
Docker
Hiring 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.
About Bjak
Bjak is a leading online insurance platform in Southeast Asia, operating primarily through its flagship brand, Bjak, which allows users to compare and purchase insurance policies digitally. The company has expanded into financial services, including investment and lending products, and is now developing an AI-powered neobank. With a strong focus on technology and innovation, Bjak has grown rapidly since its founding in 2019, serving millions of users across Malaysia and other regional markets.
Bjak has established a significant presence in Spain, with a large number of open roles based there, particularly in engineering, product, and design. The company is building a diverse, remote-friendly team and is actively hiring international talent for its AI finance agent and neobank initiatives. For international professionals, Bjak offers the opportunity to work on cutting-edge AI applications in fintech, with a multicultural environment and the chance to contribute to a fast-growing startup.
- Founded
- 2019
- Employees
- 500–1,000
- Headquarters
- Kuala Lumpur, Malaysia
- In Spain
- Madrid
Good to know if you are moving
- Bjak is headquartered in Kuala Lumpur, Malaysia, but has a substantial remote-friendly culture and is actively hiring in Spain, indicating a global, distributed team.
- The company is building an AI neobank and AI finance agents, offering engineers and product professionals the chance to work on cutting-edge AI applications in fintech.
- Bjak has raised over $100 million in funding, indicating strong financial backing and growth potential.
- The company's workforce is diverse, with employees from various countries, making it a welcoming environment for international hires.
- Bjak offers competitive compensation and benefits, including equity, to attract top talent globally.
In their own words
About the company & team
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
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