Job Description
Your new companyJoin a leading financial services organisation investing heavily in Applied AI and next-generation engineering capabilities.
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Your new roleAs a Senior Applied AI Engineer, you'll lead the design and delivery of enterprise-scale agentic AI platforms.
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Key responsibilities
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Build production-grade AI agents using RAG, semantic search, vector databases and AWS Bedrock.
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Drive AI systems through to production, covering deployment, observability, evaluation and optimisation.
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Define engineering standards across AWS and Infrastructure-as-Code.
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Implement AI guardrails including validation, hallucination detection and output filtering.
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Design and build MCP servers and integrations connecting AI agents with enterprise systems and tools.
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Evaluate and implement emerging agentic AI patterns, including multi-agent architectures and agent-to-agent communication.
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Mentor engineers and provide technical leadership across the AI development lifecycle.
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What you'll need to succeed
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7+ years' experience in Software Engineering,



AI Engineering or a related discipline.
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Proven experience building and operating production-scale LLM and agentic AI solutions.
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Deep understanding of agentic architectures, tool use, reasoning, orchestration, memory and multi-agent systems.
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Strong experience with AWS, AWS Bedrock, LangChain, Strands or similar AI frameworks.
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Experience building RAG solutions, semantic search capabilities and applications powered by vector databases.
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Expertise in prompt engineering, context management and model evaluation.
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Solid communication skills and experience leading or mentoring engineering teams.
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Financial services experience highly regarded.
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What you'll get in return
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Opportunity to shape the technical direction of a greenfield Applied AI function.
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Ownership of architecture and engineering standards for enterprise AI platforms.
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Exposure to cutting-edge agentic AI technologies and large-scale AI initiatives.
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📌 Senior Applied Ai Engineer (New South Wales)
🏢 Rashi Joshi
📍 New South Wales