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AI Engineer

Dx1 Au — Australia · Posted ~1 day ago

Mid Full-time

Skills

Python LLM AI agents LangChain LangGraph RAG Vector databases FastAPI AWS Azure PydanticAI Pinecone Weaviate pgvector

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Summary

An AI-focused technology team is hiring an engineer to build enterprise-grade intelligent agents and retrieval systems. The role involves LLM applications, cloud deployment, AI evaluation, and collaboration with business stakeholders.

Highlights

Work on production AI systems using modern LLM technologies, enterprise projects, cloud platforms, and responsible AI practices.

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