AI Engineer Specialist
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:
- multi-step conversations
- tool calling
- API execution
- Develop and optimize RAG pipelines
- Implement prompt engineering and response control
- Integrate LLM pipelines with:
- backend APIs
- 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 description:
Generative AI & LLMs
- Strong experience with LLMs (LLaMA, Mistral, GPT-style models)
- Experience with:
- prompt engineering
- tool/function calling
- multi-step reasoning
Agentic AI & orchestration (CORE)
- Hands-on experience with:
- LangChain / LangGraph / CrewAI (or similar)
- Designing:
- multi-agent workflows
- task orchestration pipelines
RAG & knowledge systems
- Experience building RAG pipelines
- Familiarity with:
- embeddings (BGE, Instructor or similar)
- 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