Agentic AI Developer

Client of Forsyth Barnes; United Arab Emirates; Hybrid; AED 300,000 - 540,000; Full time

Benefits offered by this job

Health insurance

Wellbeing support

Paid time off

Conferences & certifications

Hybrid office policy in Dubai

Cloud credits for AI experimentation

Job summary

Client of Forsyth Barnes is seeking an Agentic AI Developer to translate agentic research into production-grade components that automate CRM workflows and decision tasks. You will own end-to-end delivery, designing prototypes, validating behaviours against business metrics and deploying resilient services that operate under real customer workloads.

You will build orchestration layers, integrate multiple LLM providers, create evaluation suites and monitor reliability.

Qualifications

• Production ML services experience and strong Python/TypeScript skills.
• Experience delivering agentic AI or conversational AI prototypes.
• Familiarity with LLM providers, fine-tuning and orchestration tooling.
• Ability to translate technical trade-offs into product decisions.

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.

Skills

Python

TypeScript

APIs

ML engineering

LLM orchestration

Tools

Orchestration frameworks

CI/CD tooling

Cloud services

LLM providers

Job description

Job Description 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

• Candidates with experience in building production ML services conversational agents or orchestration frameworks will find the role particularly impactful
• 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