Agentic AI Developer

The Agentic AI Developer will lead the translation of agentic research into production-grade components that enhance CRM automation and decisioning. The role requires ownership of end-to-end delivery: designing prototypes, validating behaviours against business metrics, and deploying resilient services that operate under real customer workloads. Success will be measured by increased automation coverage, demonstrable reductions in manual effort, and stable, auditable agent behaviour in production. Key Responsibilities Design and implement agentic AI features that automate CRM workflows and decision tasks. Develop reliable orchestration layers to coordinate multi-step agent actions and external integrations. Integrate multiple LLM providers and maintain model selection logic to meet latency and cost SLAs. Create evaluation suites and metrics to assess agent correctness, safety and long-term effectiveness. Build monitoring, alerting and runbooks to mitigate failures and unintended behaviours. Collaborate with product managers, platform engineers and support teams to prioritise use cases and measure business impact. Maintain development and testing infrastructure used for agent experimentation and deployment. Benefits Competitive salary aligned with market rates for senior AI engineering roles in the region. Comprehensive health insurance and wellbeing support packages. Generous paid time off and public holiday allowances consistent with local regulations. Budget for professional development, conferences and relevant certifications. Flexible working arrangements with a hybrid office policy in Dubai. Access to cutting-edge cloud credits and tooling for AI experimentation. Other This position provides a strategic opportunity to shape how agentic systems drive automation within CRM products. Candidates with experience in building production ML services, conversational agents or orchestration frameworks will find the role particularly impactful.

Desired Candidate Profile

Proven track record delivering AI or agentic prototypes into production systems. Substantial experience with Large Language Models and orchestration tooling; familiarity with major providers and fine-tuning techniques. Strong software engineering skills in Python, TypeScript or similar languages and experience building robust APIs and services. Practical experience creating evaluation frameworks, A/B tests and metrics-driven product iterations. Operational experience managing servers, CI/CD and deployment tooling for ML services. Excellent stakeholder communication with an ability to translate technical trade-offs into product decisions.