Location: Dubai (Onsite)
Experience: Minimum 3+ years
Job Overview:
We are looking for a skilled Agentic AI Developer to design, build, and deploy intelligent autonomous agents leveraging modern AI frameworks. The ideal candidate should have hands-on experience with Azure AI Foundry and Claude (Anthropic), along with a strong understanding of LLM-based application development and orchestration.
Key Responsibilities:
– Design and develop agentic AI systems capable of autonomous decision-making and task execution
– Build and deploy AI solutions using Azure AI Foundry, integrating services like Azure OpenAI, Cognitive Services, and orchestration tools
– Develop and optimize workflows using Claude and other LLMs for complex reasoning, multi-step task execution, and conversational AI
– Implement prompt engineering, RAG (Retrieval-Augmented Generation), and tool-use capabilities for enterprise use cases
– Integrate AI agents with enterprise systems such as CRMs, ERPs, APIs, and databases
– Ensure scalability, security, and performance of AI solutions in production environments
– Collaborate with cross-functional teams to translate business requirements into AI-driven solutions
– Continuously evaluate emerging AI tools, frameworks, and best practices
Required Skills & Qualifications:
– 3+ years of experience in AI/ML, software development, or related fields
– Strong hands-on experience with Azure AI Foundry and Azure AI ecosystem
– Experience working with Claude (Anthropic) or similar LLMs (GPT, Gemini, etc.)
– Proficiency in Python and familiarity with frameworks like LangChain, Semantic Kernel, or similar
– Experience with APIs, microservices architecture, and cloud-native development
– Good understanding of prompt engineering, LLM fine-tuning concepts, and RAG pipelines
– Familiarity with vector databases and embeddings (e.g., Pinecone, FAISS, Azure Cognitive Search)
– Strong problem-solving and analytical skills
Good to Have:
– Experience with multi-agent systems and orchestration frameworks
– Knowledge of DevOps practices, CI/CD, and containerization (Docker, Kubernetes)
– Exposure to enterprise automation, RPA, or workflow tools
– Prior experience working on real-world AI agent deployments