A
Posted 13 hours ago
Applied AI Engineer
A1Applied AI Engineer
Requirements
Machine learning foundation, ML model training/fine-tuning, Production-quality coding, Problem-solving in ambiguous environments
Skills
PythonPyTorchLLM
About the role
About the Company
A1 is on a mission to build a proactive smart assistant for everyday users, bringing intelligence to conversations, errands, organizing, and workflows with minimal prompting. The product focuses on high reliability for long-running workflows, persistent context, and real-world task completion.
Responsibilities
- Build and ship AI features end-to-end from model to 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 including model, orchestration, infra, and 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
Requirements
- 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 from model to infra to product
- Strong problem-solving skills in ambiguous, fast-moving environments
- Bias toward shipping, iteration, and continuous improvement
Preferred Qualifications
- Proficiency with Python
- Experience with PyTorch or JAX
- Experience with LLMs (OpenAI-style APIs, LLaMA, Qwen, etc.)
- Experience with inference/serving tools like vLLM
- Experience with Vector Databases
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A1 · Seoul
