- Systems
๐ฌ๐ง Full-Stack Engineer (Remote)
๐ข Work setting & industry
- Industry: Artificial Intelligence / Generative AI / AI Training & Automation
- Work setting: Fully remote
- Employment type: Contract / Project-based opportunity
- Environment: Cutting-edge AI and autonomous agent development environment focused on LLM training, orchestration systems, and real-world AI workflows
๐ Role overview
An exciting opportunity for a Full-Stack Engineer to contribute to the development and training of advanced AI agents and autonomous systems.
This role focuses on improving next-generation generative AI systems by supporting complex orchestration workflows, backend engineering, live tool integrations, and multi-step agent interactions. You will collaborate on projects designed to help Large Language Models operate as proactive, real-world autonomous agents.
๐ง Key Responsibilities
๐ค AI Agents & Automation Systems
- Support the development and optimisation of AI agent workflows and orchestration systems
- Help train and improve Large Language Models (LLMs) through structured human feedback and system evaluation
- Design scalable solutions for complex, multi-step autonomous workflows
- Identify and analyse behavioural patterns, edge cases, and system weaknesses in AI agent interactions
๐ป Full-Stack & Backend Engineering
- Build and maintain modular, production-grade software systems
- Develop backend services for data parsing, logic processing, workflow orchestration, and reporting
- Work across live, non-mocked environments with real-time multi-turn system interactions
- Contribute to scalable architectures supporting AI-enabled applications and automation systems
๐ Systems Integration & APIs
- Integrate AI systems with external tools, APIs, and third-party platforms
- Support persistent state management and session tracking for autonomous agents
- Work with databases, automation platforms, and real-world service integrations
- Ensure system reliability, modularity, and operational scalability
๐ก๏ธ Quality, Security & Risk Awareness
- Detect subtle system failures including privacy leaks, authority escalation risks, and indirect prompt injection vulnerabilities
- Provide high-quality technical feedback on system behaviour and performance
- Support safe and responsible AI system development practices
- Contribute to system testing, debugging, and continuous improvement initiatives
๐ค Profile
โ Required Experience
- 2+ years of experience in backend engineering, software development, AI automation, or systems integration
- Strong programming skills in at least two major languages such as Python, JavaScript, Go, or Java
- Experience working with SQL databases and production-grade software systems
- Experience building modular services and scalable backend architectures
- Strong attention to detail and ability to analyse complex technical workflows
โญ Preferred Experience
- Experience building multi-stage orchestration or coordination systems
- Hands-on experience integrating live tools and APIs into AI workflows
- Familiarity with persistent memory/state management systems
- Experience identifying AI security vulnerabilities and system risks
- Strong understanding of autonomous agents, LLM workflows, and generative AI systems
๐ Additional Information
- Fully remote opportunity
- Work on advanced AI agent and autonomous systems projects
- Opportunity to collaborate with leading AI organisations and cutting-edge generative AI initiatives
- Ideal for engineers passionate about AI orchestration, automation, and scalable systems engineering
Key Skills
Ranked by relevance
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- Posted
- May 16, 2026
- Type
- Contract
- Level
- Mid-Senior
- Location
- Australia
- Company
- SoTalent
Industries
Categories
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