Backend Engineer, AI (Agent Systems)
Summary
Backend engineer owning the inference and orchestration layer powering AI product features. Builds production APIs from LLMs (OpenAI, Anthropic, open-source) using Python, Node.js, PyTorch, Kubernetes, and Docker with focus on latency, reliability, and observability.
As a Backend Engineer, AI, you own the inference and orchestration layer that powers every AI interaction in the product. Your work sits between models and users, where latency, correctness, reliability, and cost directly impact real-world experience.
You will build and operate production systems that turn model capability into fast, stable, observable APIs used across mobile and desktop clients.
Job Duties:
- Build and operate backend systems that serve AI-powered features in production.
- Design inference pipelines, orchestration layers, and service boundaries around models.
- Own production concerns: monitoring, logging, alerting, and incident response.
- Optimize latency and throughput across inference, caching, batching, and streaming.
- Backend systems run reliably at scale, handling production AI traffic with low latency and high throughput.
- Ensure APIs are stable, clear, and support seamless integration with frontend and ML systems.
- Production incidents are quickly detected, diagnosed, and resolved, minimizing user impact.
- Iterative improvements based on real usage continuously increase system performance and reliability.
Technical Experience/Requirements:
Python
NodeJs
Pytorch
OpenAI / Anthropic / open-source
LLMs
Kubernetes
Docker
Strong backend engineering fundamentals in production environments.
- Experience running high-throughput, low-latency services.
- Familiarity with AI inference patterns (LLMs, embeddings, multimodal).
- Comfortable debugging distributed systems under load.
- Bias toward shipping and learning from production behavior.
Interested candidates may apply directly to [email protected] (Reg ID: R1103695) for immediate processing
EPS Consultants Pte Ltd|95C5630