LLM Application Engineer
Bjak · Remote · China ·
COMPENSATION
€•• – ••k
Listed on the employer's job board (Ashby)
- Fully remote
- LLM & Agent focus
- Python stack
- Production AI systems
You will work at the intersection of large language models, software engineering, and product design. Your main focus is turning AI capabilities into reliable experiences by designing agentic workflows, improving model behavior, and building evaluation systems.
The team aims to reduce hallucinations and ensure high reliability for long-running workflows. You will own problems end-to-end, from understanding user needs to optimizing AI systems for quality, latency, and cost in production.
What you'll do
- Build and ship LLM-powered applications and AI agent workflows
- Design systems for reasoning, planning, memory, and tool use
- Create orchestration pipelines for predictable and safe actions
- Integrate LLMs with APIs, databases, search, and external tools
- Develop prompting and context engineering techniques
- Build evaluation frameworks to measure AI quality and reliability
- Debug AI systems across model, orchestration, and backend layers
- Optimize AI systems for quality, latency, and operational cost
What you'll need
- Strong software engineering fundamentals
- Experience building AI-powered applications
- Hands-on work with LLMs or agent-based systems
- Experience designing prompts, workflows, or evaluations
- Ability to write clean, production-quality code
- Comfortable working across model, system, and product layers
- Strong problem-solving skills in ambiguous environments
Stack
- Python
- LLM APIs
- OpenAI-compatible APIs
- Agent frameworks
- Vector databases
- PyTorch
- JAX