Forward Deployment Engineer

About This Role

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
• Product Thinking: Ability to unpack complex problems, map user journeys, and draft user stories & acceptance criteria
• Basic Design Aptitude: Comfort with quick wireframes and basic visual flows
• Basic coding knowledge: Python, Java, C++, Groovy
• Ways of Working: Bias for action, strong communication/storytelling, stakeholder management, cross-functional collaboration, and comfort in a fast, high-ownership startup