Generative AI Engineer
2 weeks ago
The selected candidate will be working for our Indian JV - D2AI Labs at our customer's premises in Riyadh, Saudi Arabia.
Responsibilities
Key Responsibilities:
• Lead Agent Development: Architect, build, and deploy the central interface agent that connects and coordinates specialized AI agents.
• Agent Orchestration: Implement reliable communication, delegation, and data-handling mechanisms between agents.
• LLM Integration: Fine-tune and integrate LLMs (Azure OpenAI or similar), utilizing advanced prompt engineering techniques.
• MLOps Implementation: Maintain robust MLOps pipelines, CI/CD workflows, and performance monitoring on Azure.
• Vector Database Management: Design data pipelines using vector databases like Pinecone, Qdrant, or Milvus for RAG and agent memory.
• A2A Communication & MCP: Enable advanced agent-to-agent communication using established protocols like MCP/MCPTx.
• Collaborate with cross-functional teams to translate business requirements into scalable AI/ML solutions.
• Optimize AI models for performance, scalability, and accuracy.
• Conduct thorough testing, evaluation, and documentation of models and systems.
• Stay up to date with the latest advancements in AI, particularly in the Generative AI space.
Qualifications & Skills :
• Proven experience in LLM model development (e.g., OpenAI, GPT, BERT, etc.).
• Hands-on experience in building GenAI agents and conversational workflows.
• Strong Python programming skills with a focus on AI/ML libraries and frameworks (e.g., PyTorch, TensorFlow, Hugging Face).
• Proven experience building or orchestrating multi-agent systems using frameworks like LangGraph.
• Prior work experience in the Telecom industry with a clear understanding of domain-specific challenges.
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