AI Engineer Specialist

Job description

Job Description:

We are looking for a GenAI Engineer / Lead (4-5 years’ experience) to design and implement

Agentic AI pipelines for an AI-powered Voice Agent platform.

The role focuses on building LLM-based orchestration systems that combine:

• conversational AI

• RAG pipelines

• API integrations

• tool-based reasoning

Key Responsibilities:

• Design and implement Agentic AI workflows using LLMs...

• Build orchestration pipelines for:

o multi-step conversations

o tool calling

o API execution

• Develop and optimize RAG pipelines

• Implement prompt engineering and response control

• Integrate LLM pipelines with:

o backend APIs

o CRM systems

• Handle conversation memory and context management

• Improve AI response accuracy and reliability

• Collaborate with development teams for end-to-end integration

Nice to Have :

• Basic knowledge of voice AI (STT/TTS)

• Exposure to real-time systems

• Experience with Kubernetes or cloud environments

• Arabic language understanding

Experience Requirements:

• 4-5 years total experience

• 2+ years in Generative AI / LLMs

• Experience in building production AI pipelines

Skills

Skills

Generative AI & LLMs

• Strong experience with LLMs (LLaMA, Mistral, GPT-style models)

• Experience with:

o prompt engineering

o tool/function calling

o multi-step reasoning

Agentic AI & Orchestration (CORE)

• Hands-on experience with:

o LangChain / LangGraph / CrewAI (or similar)

• Designing:

o multi-agent workflows

o task orchestration pipelines

RAG & Knowledge Systems

• Experience building RAG pipelines

• Familiarity with:

o embeddings (BGE, Instructor or similar)

o vector databases (Qdrant or similar)

Integration & APIs

• Experience integrating AI systems with backend APIs

• Understanding of REST APIs and system workflows

Programming

• Strong Python experience

• Clean code and modular design

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