Senior Software Engineer - AI Enablement

Lanson Partners; Sydney; Hybrid; AUD 160,000 - 240,000; Full time

Job summary

Lanson Partners is seeking a Senior Software Engineer to enable AI across production systems. The role emphasizes robust backend engineering, production-grade AI, and strong Python skills within a modern enterprise environment.

You will design integrations with enterprise APIs and data, work on agents, RAG, MCP, tool calling, and multi-step workflows, and ensure reliability through testing, CI/CD, and observability. Hybrid Sydney location with a 3-day office presence.

Qualifications

• Proven backend or software engineering experience.
• Hands-on experience building production AI or LLM-enabled systems.
• Experience with cloud environments.
• Willingness to work in Python as part of the role.
• Experience integrating APIs, services and enterprise data.
• Experience with agents, RAG, MCP, tool calling or similar patterns.
• Strong reliability, testing, monitoring and production support knowledge.

Responsibilities

• Build and support production AI systems and backend services
• Design integrations with enterprise APIs, systems and data
• Work across agents, RAG, MCP, tool calling and multi-step workflows
• Implement evaluation, guardrails and human-in-the-loop patterns
• Design for reliability, scalability, resilience and fault tolerance
• Own solutions through testing, CI/CD, deployment, monitoring and production support
• Contribute to reusable engineering patterns that can be adopted across multiple teams

Skills

Backend software engineering

Production AI systems

System design

API integration

Agents / RAG / MCP

Reliability / monitoring

Cloud environments

Python

Job description

Senior Software Engineer - AI Enablement

Help build production AI systems across a major enterprise. We’re looking for strong software engineers with hands‑on experience building production AI systems.

This is a software engineering role first. Your background could be in Python, Node.js/TypeScript, Java, Go, C# or another modern backend stack.

The important thing is strong engineering fundamentals and genuine experience taking AI-enabled systems into production.

The team’s core language is Python, so you will need to be comfortable picking it up and working in it as part of the role.

What you could be building

• Customer-facing AI experiences that retrieve trusted information and interact with internal services
• Internal employee agents that gather information, summarise context and recommend next actions
• Agentic workflows that call enterprise APIs, tools and data sources
• RAG and knowledge platforms grounded in approved internal information
• Reusable engineering patterns around agents, MCP, evaluation, guardrails and observability
• AI-assisted software delivery and engineering productivity

What you’ll be doing

• Build and support production AI systems and backend services
• Design integrations with enterprise APIs, systems and data
• Work across agents, RAG, MCP, tool calling and multi-step workflows
• Implement evaluation, guardrails and human-in-the-loop patterns
• Design for reliability, scalability, resilience and fault tolerance
• Own solutions through testing, CI/CD, deployment, monitoring and production support
• Contribute to reusable engineering patterns that can be adopted across multiple teams

What we’re looking for:

• Strong backend or software engineering experience
• Hands‑on experience building production AI or LLM‑enabled systems
• Strong system design and production ownership
• Experience integrating APIs, services and enterprise data
• Experience with agents, RAG, MCP, tool calling or similar patterns
• Strong understanding of reliability, testing, monitoring and production support
• Experience working in cloud environments
• Willingness and ability to work in Python as part of the role

You do not need to come from a Python‑first background.

We are open to strong engineers from languages such as Node.js/TypeScript, Java, Go, C# and similar backend stacks, provided the software engineering and production AI experience is strong.

What matters most

• What problem did you solve?
• What did you personally build?
• Why did you design it that way?
• What could fail?
• How did you make it reliable?
• How did it perform in production?

This is an opportunity to join a major organisation while its enterprise AI capability is still being built, with the chance to influence how AI systems are designed, governed and operated across the business.

Location: Sydney

Hybrid: 3 days per week in the office

Salary: $160k–$240k package + bonus (flexible for the right person).

Interstate candidates: Must be willing to relocate to Sydney