TL;DR

Senior AI Software Engineer (AI): Designing and building backend or full-stack agentic systems that orchestrate LLM-powered workflows with an accent on architectural scalability, performance, and robust deployment. Focus on productionizing emerging AI frameworks, building durable multi-step reasoning pipelines, and integrating intelligent workflows into core products.

Location: On-site (Sydney, London, Poland, or New Zealand).

Company

Simple Machines is a senior-only boutique technology and consulting firm specializing in architecting and engineering scalable data platforms and software systems for an AI-driven world.

What you will do

  • Design and build agentic systems that orchestrate LLM-powered workflows using frameworks like LangGraph or LangChain.
  • Develop agentic pipelines and integrate APIs and data services for reasoning-driven automation.
  • Implement robust application logic, focusing on system design, performance, testing, and deployment.
  • Work hands-on across architecture and implementation to deliver production-grade intelligent solutions.
  • Collaborate with a team of senior engineers to solve complex engineering challenges beyond prototyping.

Requirements

  • Strong software engineering background with hands-on development expertise in full-stack or server-side environments.
  • Demonstrated experience with LangGraph or LangChain focused on production-grade applications.
  • Experience designing or implementing agentic workflows, orchestration layers, or multi-step reasoning pipelines.
  • Mindset aligned with data or platform engineering rather than pure model research or training.
  • Capability to work on-site at one of the firm's office locations.

Nice to have

  • Familiarity with Model Context Protocol (MCP) or similar patterns.

Culture & Benefits

  • Focus on building modern platforms rather than maintaining legacy systems.
  • Work in a senior-only environment with high professional standards.
  • High degree of autonomy and influence over engineering outcomes.
  • Exposure to high-impact, real-world AI applications.