Senior Backend AI Systems Engineer

ai talent • Australia

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AI Summary

Architect and build high-throughput backend infrastructure and asynchronous pipelines for enterprise Generative AI applications. Design scalable microservices, vector retrieval engines, and distributed model serving infrastructure using Python or Go. Require deep expertise in LLM orchestration, RAG pipelines, and high-concurrency systems design.

Key Highlights

Technical ownership of backend service design and vector retrieval engines

Implementation of high-concurrency microservices and asynchronous API streaming

Integration of frontier LLMs into secure enterprise cloud backends

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Key Responsibilities

Design, build, and maintain high-concurrency, asynchronous backend APIs using Python or Go.

Architect resilient backend orchestration layers and Retrieval-Augmented Generation (RAG) pipelines.

Configure, tune, and scale production vector databases and hybrid search architectures.

Manage asynchronous background jobs, caching, and rate limiting using Redis, Celery, RabbitMQ, or Apache Kafka.

Containerise backend workloads via Docker and deploy scalable services on Kubernetes or cloud container platforms.

Implement backend tracing, token-cost metering, and latency tracking across AI API calls.

Technical Skills Required

Python FastAPI SQL

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Benefits & Perks

Full visa and migration support

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Nice to Have

Experience deploying open-source models using vLLM, Ollama, or Triton Inference Server

Familiarity with agentic loop design patterns like LangGraph or AutoGen

Commercial experience with Go or Rust for high-performance systems programming

Job Description

We are partnering with an enterprise client to architect high-throughput backend infrastructure, asynchronous pipelines, and low-latency API gateways powering enterprise Generative AI applications. We are seeking an experienced Backend AI Systems Engineer to represent our organisation and take technical ownership of backend service design, vector retrieval engines, and distributed model serving infrastructure.

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