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AI Engineer

Dx1 Au — Australia · Posted ~3 hours ago

Mid Full-time

Skills

AI agents LangChain LangGraph PydanticAI RAG Vector databases Prompt engineering AI evaluation AWS Azure Software engineering Pinecone Weaviate pgvector AWS Bedrock SageMaker Azure OpenAI

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Summary ✨ AI‑Generated

Build and deploy production-grade AI agent systems that solve complex enterprise problems. You will architect agent workflows, develop RAG pipelines with vector databases, create voice/chat/SMS agents, design prompts and evaluation frameworks, and deploy AI systems across major cloud platforms. The role combines hands-on engineering with direct client collaboration.

Highlights

Build production-grade AI agent systems for enterprise clients across multiple industries. Work with modern LLM infrastructure, multimodal channels, cloud AI platforms, evaluation frameworks, and responsible AI practices while engaging directly with clients.

Description

Design, build and deploy production-grade AI agent systems for enterprise clients across Australia. You will work with LLMs, RAG pipelines, vector databases and agentic frameworks to solve real business problems in healthcare, financial services, government and more. Key Responsibilities Architect and implement AI agent workflows using LangChain, LangGraph and PydanticAIBuild RAG pipelines with vector databases (Pinecone, Weaviate, pgvector) for enterprise knowledge retrievalDevelop multi-channel AI agents (voice, chat, SMS) integrated with client systemsDesign prompt engineering strategies, evaluation frameworks and guardrails for production AIDeploy and monitor AI systems on AWS (Bedrock, SageMaker) and Azure OpenAICollaborate directly with enterprise clients to translate business problems into AI solutionsContribute to DX1's AI governance and responsible AI practices for Australian regulatory requirements Required Qualifications And Experience 3+ years in software engineering with at least 1 year focused on LLM/AI agent developmentStrong Python skills with experience in FastAPI, async patterns and production API developmentHands-on experience with LangChain, LangGraph or similar LLM orchestration frameworksUnderstanding of RAG architectures, embedding models and vector searchExperience with cloud platforms (AWS or Azure) and containerised deploymentsAbility to communicate technical concepts clearly to non-technical stakeholders Bonus Points Experience with PydanticAI, CrewAI or AutoGenFamiliarity with LLM observability tools (LangSmith, Helicone, Phoenix)Knowledge of Australian data privacy regulations and AI governance frameworksBackground in consulting or client-facing delivery