Backend Engineer, AI (Agent Systems)
Bjak · Remote · Singapore ·
COMPENSATION
€•• – ••k
Listed on the employer's job board (Ashby)
- Fully remote
- Backend + AI focus
- Python & Node.js
- Kubernetes & Docker
- Small high-density team
You will own the backend systems that power AI interactions, sitting between models and users to ensure speed and correctness. The work involves designing inference pipelines and service boundaries that turn model capabilities into stable APIs for mobile and desktop clients.
The team prioritizes high reliability for long-running workflows and persistent context, aiming to reduce hallucinations and minimize prompting. You will handle production concerns including monitoring, logging, and incident response to maintain system stability at scale.
What you'll do
- Build and operate backend systems serving AI features in production
- Design inference pipelines and orchestration layers around models
- Define service boundaries to optimize latency and throughput
- Manage monitoring, logging, alerting, and incident response
- Optimize caching, batching, and streaming for performance
What you'll need
- Strong backend engineering fundamentals in production environments
- Experience running high-throughput, low-latency services
- Familiarity with AI inference patterns like LLMs and embeddings
- Comfortable debugging distributed systems under heavy load
- Bias toward shipping code and learning from production behavior
Stack
- Python
- NodeJs
- Pytorch
- OpenAI
- Anthropic
- SQL
- NoSQL
- Kubernetes
- Docker
Hiring process
- Technical team evaluates initial applications
- Three to four interviews via virtual meetings or onsite
- Prompt decision following final interview stage