Job Summary

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: 24 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

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-qual...