This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior AI/ML Engineer based in Australia.

This is a senior-level opportunity to architect and build an enterprise-grade Agentic AI orchestration platform from the ground up.
You will design scalable AI systems that combine large language models, retrieval, multi-agent workflows, and reusable AI components.
The role offers deep hands-on exposure to technologies such as Claude, LangGraph, RAG, vector databases, and MCP.
You will shape modular AI architectures that can support intelligent agents and reusable capabilities across enterprise use cases.
Beyond engineering, you will provide technical leadership and make key architectural decisions around scalability, security, and reliability.
You will work in a remote environment where strong communication, problem-solving, and ownership are essential.
This role is particularly suited to an experienced AI/ML professional who wants to influence the architecture of production-grade generative AI systems.

Accountabilities

• Lead the architecture, design, development, and implementation of an enterprise-grade Agentic AI orchestration platform.
• Design modular, reusable AI components and intelligent agents using a "Bricks" / multi-node architecture.
• Develop production-grade LLM applications leveraging Claude APIs, LangGraph, LangChain, advanced prompt engineering, RAG, vector databases, MCP, and multi-agent workflows.
• Define and implement agentic AI architectures that are scalable, maintainable, secure, and suitable for enterprise environments.
• Build scalable APIs and backend services using Python and FastAPI, ensuring reliability and production readiness.
• Design retrieval-augmented generation solutions and integrate vector databases to support accurate and context-aware AI applications.
• Develop sophisticated prompt-engineering strategies to improve model performance, reliability, and consistency.
• Establish AI security and responsible AI practices, particularly when working with enterprise or regulated data.
• Provide technical leadership across architecture and engineering decisions, establishing best practices and guiding implementation.
• Evaluate technical trade-offs involving scalability, performance, security, maintainability, and AI model capabilities.
• Collaborate with technical and business stakeholders to translate complex requirements into robust AI solutions.
• Troubleshoot complex technical challenges and continuously improve the platform's reliability, performance, and capabilities.

Requirements

• 10+ years of overall experience in software engineering and/or AI/ML, with senior-level architecture and engineering responsibilities.
• Strong professional experience building and operating LLM-based applications in production.
• Advanced Python development skills and experience building production-quality backend systems.
• Hands-on experience working with the Claude API, including integration into real-world AI applications.
• Strong experience with LangGraph and/or LangChain, including orchestration of complex AI workflows.
• Proven experience designing and implementing Agentic AI architectures and multi-agent systems.
• Strong knowledge of Retrieval-Augmented Generation (RAG) and practical experience with vector databases.
• Advanced prompt-engineering capabilities, with an understanding of techniques for improving LLM accuracy, reliability, and behavior.
• Experience designing and developing scalable APIs using FastAPI.
• Strong understanding of AI security, responsible AI, privacy, and enterprise AI governance.
• Experience working with enterprise-scale or regulated data environments where security, compliance, and reliability are critical.
• Strong software architecture skills and the ability to make sound technical decisions in complex environments.
• Proven technical leadership capabilities, including influencing architecture, guiding engineering practices, and mentoring technical teams.
• Excellent communication, collaboration, analytical thinking, and complex problem-solving skills.
• Ability to work independently in a remote environment while maintaining strong ownership and delivery focus.

Benefits

• Fully remote work model.
• Contract engagement.
• Opportunity to work on an enterprise-grade Agentic AI platform using advanced generative AI technologies.
• Hands-on exposure to Claude, LangGraph, LangChain, RAG, vector databases, MCP, multi-agent systems, and modern AI architectures.
• Opportunity to influence architectural decisions and shape reusable AI components and intelligent-agent capabilities.
• Senior-level technical ownership with significant impact on the design and evolution of the platform.
• Experience working with enterprise and potentially regulated data environments.
• International, technology-focused environment with opportunities to solve complex AI/ML engineering challenges.