Artificial Intelligence Engineer

Artificial Intelligence Engineer - azakaw
Description Reports To: Group CTO & Deputy CEO
Direct Reports: None
Location: Porto, Portugal
Type: Full-time
About azakaw
azakaw is a purpose-built RegTech compliance platform backed by the regulatory expertise of j. awan & partners, a leading international GRC consultancy headquartered in the Dubai International Financial Centre (DIFC). The platform automates KYC, KYB, AML and ongoing monitoring for regulated institutions across the GCC, Africa, and emerging markets, covering over 1,700 screening lists, more than 24,000 identity document types, liveness and deepfake detection, and national integrations such as Nafath and Yakeen in Saudi Arabia. The engineering function is based in Porto, Portugal.
Culture and Values
Growth mindset, resilience, accountability, and adaptability in a fast-paced scaling environment.
Ownership from problem to production. Engineers here decide how the product is built, and carry the consequences of those decisions.
Professional maturity and integrity in handling sensitive client and regulatory data.
Pragmatism over novelty. We use AI where it creates real value and conventional engineering where it does not.
Trust and credibility built through consistent follow-through, transparency, and candid communication.
Mission A hands-on engineering role responsible for the development, integration and optimisation of Artificial Intelligence solutions applied to azakaw's client onboarding and client management processes, within the project "AI RegTech and Intelligent CRM for Compliance and Customer Experience". You build and ship AI-based capabilities into the azakaw platform. This is a delivery role, not a research role. We are looking for someone who works fluently with AI-assisted development and can turn a business problem into working software in days rather than months, while holding the quality bar expected of a product used by regulated financial institutions.
The scope of the role follows the product roadmap and the priorities of the project. It is not limited to a fixed list of components, and you will be expected to work across the stack and across product areas. Indicative examples include AI capabilities for client onboarding, document review, risk analysis and compliance support;
retrieval, reasoning and orchestration pipelines including agentic workflows and tool-calling patterns;
document extraction andclassification within identity verification and corporate data flows;
and automation ofclient management processes across the platform, the CRM and internal systems.
Everything you ship is used by institutions under regulatory supervision. Accuracy, traceability and data protection are not optional refinements. They are part of the definition of done.
* Month Mission Outcomes ("What Success Looks Like")
AI Capabilities Live in Production
AI-based capabilities delivered into the azakaw platform and used by clients or internal teams in production, not confined to prototypes. Every capability released with a documented evaluation set and an owner.
Delivery Cadence Established
Production releases at least weekly. Standard features move from agreed scope to production within 10 working days. 85% or more of committed cycle scope delivered.
AI Output Trusted by Compliance Users
Released AI features meet their documented accuracy threshold, with a minimum floor of 90% against the agreed evaluation set. Incorrect or unsupported outputs reaching end users below 2%. No repeat incidents from the same root cause.
Measurable Reduction in Manual Effort
At least two onboarding, review or compliance workflows with manual handling time reduced by 20% or more. Adoption of delivered features by target users at 70% or above within 60 days of release.
AI-Assisted Development Embedded
Repository rules, prompts, context files and agentic workflows documented and reused by the wider engineering team. Delivery approach repeatable by others, not dependent on one person.
Project Commitments Met
All deliverables, technical documentation and progress reports for the funded project submitted by the deadline. Effort records complete and accurate.
Key Accountabilities 1. Platform Development
Key Responsibilities : Design, build and ship features across the azakaw platform, working end to end from problem definition through to production and ongoing support. Work across the stack. Take features through code review, testing, release and post-release support.
Success Indicators : Weekly production releases. Lead time under 10 working days for standard features. 85%+ of committed scope delivered.
2. AI Capability Delivery
Key Responsibilities : Design and deliver AI-based capabilities applied to onboarding, document review, risk analysis, compliance support and client management. Build retrieval, reasoning and orchestrat