is building the future of autonomous fraud intelligence and disruption. Backed by Australian scientific research, we deploy advanced conversational AI agents across different channels that engage scammers in real time - wasting their time, extracting intelligence, and helping banks, telcos and governments disrupt fraud at the source. Our platform is already deployed with Tier-1 enterprises globally and we're rapidly scaling across banking and telecommunications. This is a rare opportunity to join a venture-backed company tackling a global problem at the intersection of AI, cybersecurity and financial crime.
The Role
We're looking for an AI Engineer who combines deep technical fluency in large language models with a product-oriented mindset. You'll own the full lifecycle of AI-powered features — from problem discovery through architecture, implementation, deployment, and iteration based on real-world outcomes. This is a hands‐on role in a small, high‐autonomy team building production agentic systems at scale. You'll work across the stack: designing multi‐agent architectures, building platform primitives, shipping user-facing features, and running the infrastructure that powers it all.
What you'll do AI Systems & Multi‐Agent Architecture
- Design and implement production multi‐agent systems (orchestration, routing, memory, tool use)
- Build and maintain LLM pipelines — prompt engineering, RAG, fine‐tuning, guardrails
- Own evaluation frameworks: correctness, cost, latency, safety
- Select and integrate models (commercial APIs, open-source, self-hosted) based on task requirements
Product Mindset & Feature Ownership
- Own features end‐to‐end: from understanding user needs through to shipping and measuring outcomes
- Collaborate with product and design to scope MVPs, iterate rapidly, and validate hypotheses
- Make pragmatic trade‐offs between speed and quality — know when to ship and when to polish
- Drive technical decisions with user impact in mind, not just engineering elegance
- Contribute to product discovery: identify opportunities where AI can solve real problems
Full‐Stack Delivery
- Build web applications and APIs (TypeScript, Node.js, React)
- Design and evolve database schemas (PostgreSQL, ClickHouse)
- Deploy and operate services on Kubernetes and serverless platforms
- Write clean, tested, well‐documented code that others can maintain
Platform Engineering
- Build reusable AI platform primitives — agent runtimes, observability, shared tooling
- Design APIs and data contracts consumed by other services and teams
- Implement and maintain CI/CD pipelines, IaC (Terraform/Helm), and cloud infrastructure (AWS, Cloudflare Workers)
- Own reliability: monitoring, alerting, incident response for AI workloads
What You Bring Must Have
- 4+ years shipping production software, with 2+ years focused on AI/ML systems
- Strong TypeScript and/or Python — you write idiomatic, production-quality code
- Hands‐on experience with LLM APIs (OpenAI, Anthropic, Bedrock, or equivalent)
- Experience building agentic workflows — multi‐step reasoning, tool use, state management
- ML and model tuning experience (SageMaker, Weights & Biases, Hugging Face)
- ML/LLMOps: ELT and data management for ML workflows, ML/AI evaluation, prompt versioning, A/B testing
- Cloud infrastructure experience (AWS preferred) — you can deploy what you build
- Product sensibility — you think about user outcomes, not just technical correctness
Nice to Have
- Kubernetes, Helm, Cloudflare Workers / Durable Objects, Terraform
- SIP and Voice applications (Kamilio, RTP, voice agents)
- Startup or founding‐engineer experience — you've built from zero
Why Join Us?
- Be part of a mission-driven team tackling global scam and fraud challenges, with big growth aspirations
- Flexible work arrangements (hybrid)
- Zero bureaucracy, real impact
- Work directly with founders and researchers from day one
- A role where performance is rewarded and impact is visible
Apate was crowned the Most Innovative Technology Company Australia by AFR and has won a host of other awards at the Australian AI Awards, Annual Fintech & Banking Awards and ARN Innovation Awards.
Senior AI Product Engineer in Sydney employer: Apate.ai
Apate.ai is an exceptional employer for those looking to make a meaningful impact in the fight against fraud through cutting-edge AI technology. With a mission-driven culture that prioritises innovation and flexibility, employees enjoy the benefits of hybrid work arrangements and the opportunity to collaborate directly with founders and researchers. The company fosters a high-autonomy environment where performance is recognised, and personal growth is encouraged, making it an ideal place for passionate individuals eager to contribute to a global challenge.
