Agentic AI Developer

Role & responsibilities

We are seeking a talented Agentic AI Developer with strong expertise in building intelligent automation solutions using Automation Anywheres Automation Path to AI (APA) platform or Microsoft Azure AI services. The ideal candidate will combine RPA, AI, and workflow orchestration skills to create agent-based intelligent automation systems that enhance business operations and decision-making.

The role will be onsite with our client in Dubai and will involve end-to-end solution design, development, deployment, and optimization of AI-powered automation.

Key Responsibilities:

Design, develop, and deploy Agentic AI solutions leveraging Automation Anywhere APA or Azure AI.

Build autonomous and semi-autonomous agents capable of decision-making, data processing, and task orchestration.

Integrate AI capabilities such as Natural Language Processing (NLP), Machine Learning, and Cognitive Services into automation workflows.

Work closely with business stakeholders to identify and analyze automation opportunities.

Develop APIs, connectors, and integration layers for external systems and data sources.

Ensure solutions are scalable, secure, and compliant with enterprise standards.

Monitor, maintain, and continuously optimize deployed AI agents for performance and accuracy.

Prepare technical documentation, architecture diagrams, and best-practice guidelines.

Preferred candidate profile

Required Skills & Qualifications:

46 years of experience in Intelligent Automation or AI-based solution development.

Strong experience in Automation Anywhere APA or Microsoft Azure AI Services (Azure OpenAI, Azure Cognitive Services, Azure Bot Framework).

Proven track record in building and deploying AI-driven automation workflows.

Knowledge of LLM (Large Language Models) integration for enterprise use cases.

Hands-on experience in API development and system integration.

Strong programming/scripting skills (Python, JavaScript, C#).

Understanding of agent orchestration frameworks and AI-driven decision logic.

Familiarity with cloud deployment, DevOps practices, and containerization (Docker/Kubernetes).

Excellent problem-solving, analytical, and communication skills.

Preferred Qualifications:

Certification in Automation Anywhere Advanced/APA or Microsoft Azure AI Engineer.

Experience with RAG (Retrieval-Augmented Generation), prompt engineering, and AI governance.

Exposure to enterprise security practices in AI/automation solutions