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Bjak

Applied AI Engineer

Seoul, Korea
Salary
Not stated
Level
Mid
Work type
Hybrid · Seoul
Visa
Not stated

Open. First seen 2 October 2026.

Apply on jobs.ashbyhq.com →

The team: ActAI NEW TEAM

This team is new: its 232 open roles were posted Oct 12–16, and Bjak had none in it before. You would be one of its first people.

WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS

LLM (121 of 232), Python (121 of 232), PyTorch (121 of 232), Machine Learning (116 of 232), Vector Databases (75 of 232), NoSQL (55 of 232), SQL (55 of 232)

OTHER ROLES ON THIS TEAM

From the team and dates on Bjak's own job board.

About the role

About ActAI

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 first application is an agent-first mobile communication app. We believe building applications that users use daily for communication, coordination and collaboration needs will help integrate AI into their lives. The net effect is to eliminate misinformation, achieve low coordination costs, enable high quality tasks and collaboration at scale with minimal or little prompting.

Role

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.

Focus

  • 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

Tech Stack

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

Ideal Experience

  • 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

Outcomes

  • 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.

How We Work

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.

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.

Other openings for this role

2 open postings for this role in Seoul, Korea, first posted 2 October 2026. The company is likely hiring for more than one position. None has been taken down and posted again.

Salary context

36 other open postings titled Applied AI Engineer state a salary: median USD 155,500 to USD 250,000 a year.

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