Senior Software Engineer - AI Enablement

Maltem Australia; Sydney; On-site; AUD 150,000 - 190,000; Full time

Job summary

Maltem Australia, a boutique Data & Analytics consultancy, is seeking a Senior AI Engineer to help deliver its ambitious AI-first strategy for enterprise clients in banking and financial services.

You’ll design, build and operate scalable backend systems, collaborating with product managers and data scientists to productionize AI solutions, from prompt engineering to MLOps, across the full SDLC.

Qualifications

• 7+ years of software engineering experience in Agile/DevOps environments.
• Strong Python experience, with TypeScript exposure highly regarded.
• Experience building scalable, production-grade backend systems.
• Experience across the full SDLC, including design, build, test and production support.
• Strong understanding of CI/CD, Docker, Kubernetes and cloud environments.
• Exposure to RAG, MCP, Vertex AI, Google ADK, LangChain, LangGraph or LlamaIndex.
• Understanding of LLMOps practices across experimentation, deployment and monitoring.

Responsibilities

• RAG-based solutions and data stores.
• LLM and Gemini API integrations.
• Agents, MCP servers, connectors and CLIs.
• Prompt and context engineering.
• CI/CD, containerised deployments and LLMOps.
• End-to-end ownership across architecture, development, testing and production.

Skills

Python

TypeScript

Backend development

SDLC

CI/CD

Docker

Kubernetes

Cloud platforms

RAG/LLM tooling

Tools

Docker

Kubernetes

LangChain

Vertex AI

Google ADK

LlamaIndex

Job description

We’re hiring: Senior AI Engineer / Senior Software Engineer – Enterprise AI | Banking & Financial Services

Sydney-based | 3 days on-site required

Maltem Australia is looking for a Senior AI Engineer to join a leading Australian financial services organisation and help deliver its ambitious AI-first strategy.

You’ll join an Enterprise AI Enablement team building AI-native solutions designed to improve customer experiences and empower internal teams through practical, production-ready AI.

This is an applied AI engineering role, rather than model research. You’ll work closely with product managers and data scientists to design, build and operate the systems powering a growing agentic AI ecosystem.

What you’ll be working on:

• RAG-based solutions and data stores
• LLM and Gemini API integrations
• Agents, MCP servers, connectors and CLIs
• Prompt and context engineering
• CI/CD, containerised deployments and LLMOps
• End-to-end ownership across architecture, development, testing and production

You’ll be working at the forefront of enterprise GenAI adoption, helping deliver both customer-facing AI products and internal productivity solutions.

What we’re looking for:

• 7+ years’ software engineering experience within Agile / DevOps environments
• Strong Python experience, with TypeScript exposure highly regarded
• Experience building scalable, production-grade backend systems
• Experience across the full SDLC, including design, build, test and production support
• Strong understanding of CI/CD, Docker, Kubernetes and cloud environments
• Exposure to RAG, MCP, Vertex AI, Google ADK, LangChain, LangGraph or LlamaIndex
• Understanding of LLMOps practices across experimentation, deployment and monitoring

About Maltem

Maltem Australia is a boutique Data & Analytics consulting firm helping organisations design modern data platforms and unlock the value of their data through advanced analytics, cloud technologies and AI initiatives.

We operate across the modern data ecosystem, including Databricks, Snowflake, Microsoft Fabric, Azure, AWS and dbt, delivering transformation programs across financial services, energy & utilities, government, insurance, telecommunications and retail.

Maltem is part of an international technology services group with more than 11,000 employees worldwide. For over 35 years, the group has supported major organisations in delivering large-scale digital transformation, engineering and data initiatives across Europe, North America and the Asia-Pacific region.