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Applied AI Engineer

Remote from Spain·Full-time·Added 5 days ago

Bjak

99 open roles

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Overview

Job details

Full-time hours
Per the ad.
Fully remote
Per the ad.

Requirements

Have the right to work in Spain
Bjak doesn't mention sponsorship in the ad.
Work in English
English is required, per the ad.

Requirements

Nice to have

Strong foundation in machine learning and modern neural network architectures.
Hands-on experience with training, fine-tuning, or deploying ML models
Ability to write clean, production-quality code
Comfort working across abstraction layers (model → infra → product)
Strong problem-solving skills in ambiguous, fast-moving environments
Bias toward shipping, iteration, and continuous improvement

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.

As an Applied AI Engineer, you will turn model capabilities into real product behavior. You will own problems end-to-end, from shaping model behavior, to building the systems around it, to ensuring it performs reliably in production.

This role sits at the intersection of machine learning, systems, and product, focusing on making AI actually work for users, not just in demos, but in real-world usage.

What you'll do

Build and ship AI features end-to-end (model → system → user experience)
Design and iterate on prompts, tools, memory, and agent workflows
Turn raw model outputs into structured, reliable, and predictable behaviors
Debug issues across the full stack (model, orchestration, infra, UX)
Optimize for latency, cost, and production reliability
Develop lightweight evaluation frameworks to measure real-world performance
Work closely with product and engineering to translate ambiguous problems into working systems
ML models in production meet expected accuracy, latency, and reliability targets.
Production issues are identified quickly, debugged effectively, and root causes addressed.
Data pipelines, training loops, and inference systems are robust, reproducible, and maintainable.
Collaborates effectively with engineers, product, and research teams to deliver reliable ML-powered features.
Iterations on models and systems are driven by real-world signals and measurable improvements.

Tech Stack

Python
PyTorch / JAX
LLMs (OpenAI-style APIs, LLaMA, Qwen, etc.)
Inference / serving (e.g. vLLM)
Vector DB

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 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 AI product.

All open roles at Bjak