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About the Role

This role focuses on building and shipping AI-powered product capabilities across the platform. You will own features end-to-end, from conception to production monitoring, and contribute to setting standards for reliable, safe, and valuable AI feature development.

Responsibilities

• Design, build, and ship product features across our platform — both conventional product capabilities and AI-powered ones — for customers across Australia, the UK, and the US.
• Write production-quality application code across our stack, contributing to core product workflows, integrations, and platform improvements.
• Build LLM-powered product capabilities and the engineering around them: prompt and context management, retrieval, tool/function calling, orchestration, guardrails, and fallback behaviour.
• Establish evaluation and observability practices so we know our AI features work — quality metrics, regression testing, monitoring of cost, latency, and output quality in production.
• Work with product managers and designers to shape features that solve real customer problems and be honest about where AI is (and isn't) the right tool for the job.
• Share what you learn: raise the AI engineering capability of the broader engineering team through patterns, code review, and mentoring.

Requirements

• Strong software engineering foundation with several years of experience building and shipping production web applications.
• Experience with .NET/C# on the backend.
• Experience with Angular and/or React on the front end.
• Demonstrated experience building and shipping AI/LLM product capabilities to production with real end users.
• Hands-on experience with LLM APIs and patterns: prompt engineering, structured outputs, RAG/retrieval, tool use/function calling, and agentic workflows.
• Familiarity with cloud AI services and model providers (e.g., Azure Foundry, Anthropic, OpenAI, AWS Bedrock).
• Experience with vector databases, embeddings, and semantic search.
• Exposure to AI-assisted development tooling and agentic engineering workflows.
• Experience with evaluation and quality practices for non-deterministic systems.
• Pragmatic product judgment: ability to weigh cost, latency, accuracy, and user experience trade-offs.
• Strong communication skills — ability to explain AI system behaviour and trade-offs to product, leadership, and non-AI engineers.
• Experience in B2B SaaS, ideally multi-tenant products.
• Experience with agent frameworks (e.g. LangGraph, Microsoft Agent Framework, CrewAI, etc.).
• Domain exposure to AEC, professional services, or project-based businesses.

Skills

• .NET/C#
• Angular
• React
• LLM APIs
• Prompt engineering
• Structured outputs
• RAG/retrieval
• Tool use/function calling
• Agentic workflows
• Cloud AI services
• Vector databases
• Embeddings
• Semantic search
• AI-assisted development tooling
• Agentic engineering workflows
• Evaluation and quality practices for non-deterministic systems
• Communication skills

Location

• Sydney, Australia
• Australia
• New Zealand

Work Type

• Hybrid
• Remote-friendly

Experience Level

• Several years of experience building and shipping production web applications
• Experienced software engineer
• Real AI engineering experience

Benefits

• Annual work’versary day off
• $1000 WFH allowance
• New tech to work your very best
• Company swag

About the Company

• Total Synergy is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Equal Opportunity

• Total Synergy is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.