Artificial Intelligence Engineer

About the Company

We’re excited to be partnering with an innovative technology scale-up that is transforming how businesses handle compliance and identity verification. Their advanced cloud-based platform serves clients across a variety of heavily regulated industries, enabling secure onboarding and customer verification through sophisticated automation and biometric technologies. With a growing international presence and a strong focus on innovation, this company is reshaping the way regulated workflows are executed.

This is a unique chance to join at a crucial stage as they integrate AI deeply into their platform to automate complex compliance processes and create meaningful business outcomes.

The Role

We’re seeking a senior AI Engineer to lead the design, architecture, and delivery of AI capabilities that power this company’s workflow platform. This is a hands-on, highly visible role for someone who can build production-grade AI systems, develop agentic AI solutions, and elevate the broader engineering team’s AI expertise.

You’ll work closely with Product, Engineering, and leadership to deliver secure, scalable, compliant, and commercially viable AI solutions real systems in production, not prototypes or demos.

This role is critical to shaping how AI is responsibly integrated into a workflow-driven, regulated AML product.

Key Responsibilities

Lead AI Architecture

• Design and implement the foundational AI architecture across the workflow platform
• Define best practices for large language model (LLM) use, orchestration, monitoring, and security
• Establish standards for agentic workflows, retrieval-augmented generation (RAG), and model integration
• Build scalable, resilient systems suitable for multi-tenant, regulated environments

Build Production-Grade Agentic AI

• Develop and deploy AI agents that automate complex workflows and decision-making
• Integrate AI solutions with workflow engines, APIs, business rules, and human-in-the-loop processes
• Own the AI lifecycle end-to-end: ideation, prototyping, production, monitoring, and iteration
• Ensure AI outputs are reliable, explainable, and auditable as needed

Collaborate Across Teams

• Partner with Product, Design, and leadership to identify high-impact AI opportunities
• Translate business challenges into practical AI applications
• Collaborate on AI strategy, roadmap, and delivery sequencing with the Head of Engineering

Responsible AI & Security

• Embed responsible AI principles around privacy, safety, fairness, and compliance
• Securely handle sensitive customer and identity data across AI workflows

Cost Management & Performance

• Design AI systems for cost efficiency and predictability
• Monitor and optimise LLM usage, token consumption, latency, and infrastructure costs

Team Enablement & AI Fluency

• Mentor and upskill the engineering team on AI concepts and best practices

Skills & Experience

• 7+ years software engineering experience including hands-on AI production deployments
• Proven track record delivering at least one generative AI application to production
• Deep experience with LLMs such as OpenAI, Anthropic, AWS Bedrock, etc.
• Familiarity with agentic AI frameworks and orchestration patterns
• Strong backend, API, and infrastructure knowledge
• Expertise with RAG architectures, vector databases, embedding models, and evaluation techniques
• Prior experience mentoring engineers or leading technical initiatives

Our Values

• Bring the good energy: Positivity, pride, and momentum in everything we do
• Own the outcome: Take responsibility, learn fast, and communicate early