GenAI Engineer

Virtusa; Dubai; On-site; AED 120,000 - 200,000; Full time

Job summary

A leading technology services company in Dubai seeks an AI Application Developer with 2–4 years of experience. The candidate must be proficient in both Arabic and English and possess knowledge in AI/LLM applications. Responsibilities include designing AI agents, engineering prompts, and evaluating model performance. This role offers a unique opportunity to contribute to innovative projects in a dynamic environment.

Qualifications

• 2–4 years of experience in AI/LLMs building real applications or agents.
• Professional proficiency in Arabic and English for communication.
• In-depth knowledge of Generative AI concepts like LLMs, RAG, and AI governance.

Responsibilities

• Design and build AI agents using no-code tools.
• Engineer prompts and manage model training in Arabic and English.
• Track accuracy using evaluation frameworks.

Skills

AI application development

Prompt engineering

Model evaluation

Bilingual (Arabic & English)

API integrations

Job description

Job Description

Description

Responsibilities:

• Solution Design & Build: Use UnifyApps’ no-code builder to create AI agents and GenAI apps using Application, Automation, Data, and AI Agent modules
• Prompting & RAG: Engineer prompts, tool/function calling, chunking/embedding, vectorization, reranking, grounding, and guardrails for high-quality Arabic/English outputs
• Agent Evaluation: Create golden test sets; use agent-eval frameworks to track accuracy
• LLM Model training & fine-tuning (via prompt engineering & other methods) in Arabic and English
• Customer Delivery: Run discovery, define user stories & acceptance criteria, build PoCs/MVPs, iterate rapidly with stakeholders
• Platform Expertise: Become an SME on the UnifyApps platform; provide structured product feedback to influence roadmap

Requirements:

• Experience: 2–4 years in AI/LLMs building real applications or agents
• Language: Professional Arabic & English (read/write/communicate)
• In-depth knowledge on Gen AI: LLMs, team of agents,, MCP/A2A, RAG (chunking, embeddings, reranking, vector DBs), grounding/hallucination, AI governance, auditability, evaluation, HITL etc
• Model Ops: Prompt engineering, golden test set creation, agent-eval frameworks, A/B testing, regression analysis, basic fine-tuning (PEFT/LoRA)
• Integrations: REST/GraphQL APIs, OAuth, webhooks; stitching systems into end-to-end flows