Senior AI Inference Engineer - Self-Hosted, Scalable Endpoints

Firmus Technologies

Sydney

On-site

AUD 140,000 - 240,000

Full time

32 hours ago
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Job summary

Firmus Technologies, based in Australia, seeks a Senior AI Engineer (Inferencing) to build and enhance our self-hosted AI inference capabilities. You will deliver reliable, secure endpoints for internal products and external customers within the AI Factory framework.

You will own onboarding workflows for models, optimize performance, and collaborate with Kubernetes teams to ensure scalable, cost-aware deployments across our Asia Pacific operations.

Qualifications

  • 5+ years of software engineering, with 3+ years in AI inference or model serving.
  • Experience building production inference platforms and multi-tenant services.
  • Hands-on with modern inference frameworks and GPU tooling.
  • Strong Python; working proficiency in C++ or Go.
  • Familiarity with Kubernetes, CI/CD, observability, and security.
  • Understanding of RAG, embeddings, batching, and agentic workflows.

Responsibilities

  • Build and improve self-hosted AI inference services for internal applications, customer-facing products, and future Inference-as-a-service offerings.
  • Define onboarding workflows for models including validation, packaging, runtime selection, testing, release, and lifecycle management.
  • Provision and manage secure, scalable inference endpoints for AI application patterns (interactive generation, RAG, embeddings, batching, tool calling).
  • Develop reusable deployment templates, APIs, SDKs, configurations for users to request, configure, access, monitor, update and retire endpoints.
  • Work with inference frameworks and toolkits (TensorRT-LLM, TensorRT, Triton) to optimize performance and observability.
  • Collaborate with Kubernetes and scheduler teams to define endpoint resource profiles, placement, quotas, and autoscaling rules.
  • Build benchmarking and qualification workflows with controlled experiments and load tests.
  • Measure inference indicators (latency, tokens/second, QPS, memory, power) and ensure governance.

Skills

AI inference
Model serving
Python
C++
Distributed systems
GPU optimization
Observability
Security governance

Tools

TensorRT-LLM
TensorRT
SGLang
vLLM
Triton Inference Server
NVIDIA NIM
CUDA
cuDNN
NCCL

Job description

Firmus Technologies, based in Australia, seeks a Senior AI Engineer (Inferencing) to build and enhance our self-hosted AI inference capabilities. You will deliver reliable, secure endpoints for internal products and external customers within the AI Factory framework.

You will own onboarding workflows for models, optimize performance, and collaborate with Kubernetes teams to ensure scalable, cost-aware deployments across our Asia Pacific operations.

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