jobs in Ellwood Consulting

全职 Back End Developer 工作, 薪水, Ellwood Consulting 公司招聘中 - Ricebowl

Back End Developer

Ellwood Consulting

Undisclosed

Singapore

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工作地点

  • Singapore

职位描述

岗位职责

Backend Engineer


My Client product is built for high reliability in long-running workflows — persistent context, real-world task completion, multi-step reasoning, and seamless interaction with external tools — all while remaining dependable despite the non-deterministic nature of model behavior.


The Role

  • As a Backend Engineer, you'll own the inference and orchestration layer powering every interaction in there product. Your work sits at the critical intersection of models and users, where latency, correctness, reliability, and cost directly shape the real-world experience.
  • You'll build and operate the production systems that transform raw model capability into fast, stable, observable APIs — used across our mobile and desktop clients.


What You'll Focus On

  • 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 end-to-end: monitoring, logging, alerting, and incident response
  • Optimize latency and throughput across inference, caching, batching, and streaming


Ideal Experience

  • Strong backend engineering fundamentals, proven in production environments
  • Track record running high-throughput, low-latency services
  • Familiarity with AI inference patterns — LLMs, embeddings, multimodal systems
  • Comfortable debugging distributed systems under real-world load
  • A bias toward shipping fast and learning from production behaviour


Outcomes You'll Drive

  • Backend systems that run reliably at scale, handling production AI traffic with low latency and high throughput
  • APIs that are stable, clear, and easy to integrate across frontend and ML systems
  • Production incidents detected, diagnosed, and resolved quickly — minimizing user impact
  • Continuous, iterative improvements to system performance and reliability based on real usage



Tech Stack

  • Python · Node.js · PyTorch · OpenAI / Anthropic / open-source LLMs · SQL & NoSQL · Kubernetes · Docker


How We Work

  • The best products in the world are built by small, world-class teams — and that's who we are: high talent density, hands-on, and fast-moving.
  • We make decisions collectively and move at speed, balancing high-quality shipping with continuous learning. Joining our team means bringing structure, exercising sharp judgment, and executing independently.

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