Agentic ai specialist

• Role Description The Agentic AI Specialist is a full-time, on-site role based in Kuwait, focused on designing and implementing AI-driven solutions that support the firm’s agentic solutions Day-to-day tasks include analyzing business processes, identifying opportunities for agentic AI systems, ai agents, and automation, and building workflows that integrate AI tools with existing data and reporting systems. 3+ years in software or ML engineering, strong in Python (TypeScript is a plus) • Has shipped LLM agents to production, including tool/function calling, multi-step orchestration, memory/state and guardrails • RAG, vector databases, prompt design, and agent evaluation and tracing • Experience with agent frameworks (LangGraph, LangChain or custom) and MCP • Real-time voice experience: STT/TTS integration and latency tuning • Messaging integrations, especially WhatsApp Business / Meta APIs • Backend fundamentals: APIs, Docker, AWS, Git and testing • Security awareness: prompt injection, multi-tenant data isolation Nice-to-have • Arabic or Gulf-dialect NLP (Kuwaiti and Najdi are priorities for us) • CRM integrations and conversational sales experience • Fine-tuning or model-evaluation work How to screen • Ask for one production agent they shipped and what broke after launch. • Give a small paid task: build a tool-using agent with a simple eval suite. • Check how they handled latency, cost and hallucination, not just demos. Qualifications • Strong foundation in AI tools and frameworks, including experience with agentic AI architectures, workflow orchestration, and integrating large language models into business processes. • Applied skills in data analysis and automation, such as building data pipelines, using APIs, and deploying AI solutions within business intelligence or reporting environments. • Proficiency in problem-solving and process design, including mapping workflows, defining requirements, and translating complex business challenges into clear technical implementations. • Strong communication and documentation skills to collaborate with non-technical stakeholders, explain AI capabilities and limitations, and create guidelines and training materials. • Bachelor’s degree in Computer Science, Data Science, Engineering, Information Systems, or a related field; advanced degrees or relevant certifications in AI or data analytics are an advantage. • Experience working on-site in cross-functional teams and the ability to operate in a fast-paced advisory environment; prior experience in consulting or financial services is beneficial. • High level of integrity, attention to detail, and commitment to responsible AI practices, including data privacy, security, and ethical use of AI technologies. Show more Show less

Day-to-day tasks include analyzing business processes, identifying opportunities for agentic AI systems, ai agents, and automation, and building workflows that integrate AI tools with existing data and reporting systems. Has shipped LLM agents to production, including tool/function calling, multi-step orchestration, memory/state and guardrails. RAG, vector databases, prompt design, and agent evaluation and tracing. Experience with agent frameworks (LangGraph, LangChain or custom) and MCP. Real-time voice experience: STT/TTS integration and latency tuning. Messaging integrations, especially WhatsApp Business / Meta APIs. Backend fundamentals: APIs, Docker, AWS, Git and testing. Security awareness: prompt injection, multi-tenant data isolation.