Senior Officer - AI Engineering

Unison Group; Dubai; On-site; AED 420,000 - 660,000; Full time

Job summary

Unison Group is seeking a Senior AI Engineer to design, build, and operate an internal GenAI platform for enterprise AI solutions in the bank. You will lead the architecture of AI services, implement RAG pipelines, and develop Agentic AI workflows using Claude APIs.

Banking experience is preferred. You will collaborate with stakeholders to deliver end-to-end AI solutions, ensure security and governance, and stay ahead of GenAI developments while scaling reliable AI capabilities across the

Qualifications

• 6–8 years of software development experience, with at least 2 years in AI/LLM application development.
• Strong hands‑on experience with Anthropic Claude (API, SDK, tool use, agentic patterns).
• Proven experience building RAG, conversational AI, or enterprise GenAI solutions.
• Strong knowledge of LLMs, Prompt Engineering, Embeddings, Vector Databases, Tool Calling, and AI Evaluation.
• Good understanding of AI governance, Responsible AI, security, and data privacy.
• Banking/Financial Services experience is preferred.
• Strong communication and stakeholder-management skills.

Responsibilities

• Design and develop scalable AI/GenAI platform services, APIs, and integrations.
• Build RAG pipelines, including document ingestion, chunking, embeddings, vector databases, retrieval, and response generation.
• Develop Agentic AI workflows using tool/function calling, orchestration, and multi-step workflows.
• Work hands-on with Anthropic Claude APIs/SDKs and other LLMs.
• Develop AI solutions such as chatbots, copilots, document processing, and intelligent automation.
• Collaborate with business stakeholders to understand requirements and deliver end-to-end AI solutions.
• Implement testing and evaluation frameworks to measure LLM accuracy, relevance, safety, and performance.
• Monitor production AI solutions and ensure security, scalability, reliability, and cost optimization.
• Stay updated with GenAI, LLMs, RAG, and Agentic AI developments.

Skills

LLMs

Anthropic Claude

RAG

Agentic AI

API design

Software engineering

Chatbots

Vector databases

Security governance

Stakeholder management

Education

Bachelor’s degree in Computer Science, IT, or Software Engineering

Tools

Anthropic Claude API/SDK

Job description

We are looking for a Senior AI Engineer to design, develop, and operate the Bank’s internal AI/GenAI platform supporting Agentic AI, RAG, chatbots, copilots, and other enterprise AI solutions.

The ideal candidate should have strong software engineering experience with hands‑on expertise in LLMs, Anthropic Claude, RAG, and Agentic AI. Banking/Financial Services experience is preferred.
Key Responsibilities

• Design and develop scalable AI/GenAI platform services, APIs, and integrations.
• Build RAG pipelines, including document ingestion, chunking, embeddings, vector databases, retrieval, and response generation.
• Develop Agentic AI workflows using tool/function calling, orchestration, and multi-step workflows.
• Work hands‑on with Anthropic Claude APIs/SDKs and other LLMs.
• Develop AI solutions such as chatbots, copilots, document processing, and intelligent automation.
• Collaborate with business stakeholders to understand requirements and deliver end‑to‑end AI solutions.
• Implement testing and evaluation frameworks to measure LLM accuracy, relevance, safety, and performance.
• Monitor production AI solutions and ensure security, scalability, reliability, and cost optimization.
• Stay updated with the latest developments in GenAI, LLMs, RAG, and Agentic AI.

• Bachelor’s degree in Computer Science, IT, Software Engineering, or related field.
• 6–8 years of software development experience, with at least 2 years in AI/LLM application development.
• Strong hands‑on experience with Anthropic Claude (API, SDK, tool use, agentic patterns).
• Proven experience building RAG, conversational AI, or enterprise GenAI solutions.
• Strong knowledge of LLMs, Prompt Engineering, Embeddings, Vector Databases, Tool Calling, and AI Evaluation.
• Good understanding of AI governance, Responsible AI, security, and data privacy.
• Banking/Financial Services experience is preferred.
• Strong communication and stakeholder-management skills