AI Job Summary

3+ years software engineering, including at least 1 year focused on LLM/AI agent development.
Experience architecting/implementing AI agent workflows using LangChain, LangGraph, PydanticAI, CrewAI or AutoGen.
Build RAG pipelines using vector databases (e.g., Pinecone, Weaviate, pgvector) for enterprise retrieval.

Role Type

Permanent • Full-time • Mid-level Senior

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.

About DX1

DX1 is a team of senior engineers across Australia, focused on helping enterprises modernise how they build software. We focus on building key capabilities and enabling our customers to scale them.
We are building an agent-first engineering practice from the ground up. This is one of the founding roles.

What you will do

Architect and implement AI agent workflows using LangChain, LangGraph and PydanticAI
Build RAG pipelines with vector databases (Pinecone, Weaviate, pgvector) for enterprise knowledge retrieval
Develop multi-channel AI agents (voice, chat, SMS) integrated with client systems
Design prompt engineering strategies, evaluation frameworks and guardrails for production AI
Deploy and monitor AI systems on AWS (Bedrock, SageMaker) and Azure OpenAI
Collaborate directly with enterprise clients to translate business problems into AI solutions
Contribute to DX1’s AI governance and responsible AI practices for Australian regulatory requirements

What you bring

3+ years in software engineering with at least 1 year focused on LLM/AI agent development
Strong Python skills with experience in FastAPI, async patterns and production API development
Hands-on experience with LangChain, LangGraph or similar LLM orchestration frameworks
Understanding of RAG architectures, embedding models and vector search
Experience with cloud platforms (AWS or Azure) and containerised deployments
Ability to communicate technical concepts clearly to non-technical stakeholders

Nice to have

Experience with PydanticAI, CrewAI or AutoGen
Familiarity with LLM observability tools (LangSmith, Helicone, Phoenix)
Knowledge of Australian data privacy regulations and AI governance frameworks
Background in consulting or client-facing deliver

Company Overview

We are a consortium of technology experts who aspire to continuously deliver innovative DevOps, Quality and Network solutions; and have significant experience with a range of customers in Finance, Government and Telecommunications, just to mention a few. Our consultants have years of hands-on industry experience and leverage best practices with enterprise technology. We work in partnership with our customers, listening to their objectives and identifying technology goals that will deliver future-proof solutions for their customers.

AI Agent Engineer