We are looking for an AI engineer having MLOps experience as well to join us as soon as possible. We have a current employee that handles this position, but she resigned and last day will be end of Feb 2025. Can you please help us find some candidates ?
Below the job description:
Key Responsibilities
- Design and implement agentic AI architectures (multi-step reasoning, tool usage, memory, planners, evaluators)
- Build and optimize prompt engineering strategies for reasoning, classification, summarization, and decision-making
- Develop AI agents that interact with external tools, APIs, databases, and workflows
- Implement model orchestration pipelines (routing, fallbacks, retries, context management)
- Productionize models using MLOps best practices (training, versioning, deployment, monitoring)
- Build and maintain CI/CD pipelines for ML/LLM systems
- Monitor model performance, cost, drift, hallucinations, and reliability
- Work closely with backend, automation, and platform teams to embed AI into real products
- Continuously improve agent performance using feedback loops and evaluation frameworks
Required Skills & Experience
- Strong experience with LLMs (OpenAI, Azure OpenAI, open-source models like LLaMA, Mistral, etc.)
- Hands-on prompt engineering (structured prompts, chain-of-thought, tools/function calling)
- Experience building agentic systems (single-agent or multi-agent)
- Solid understanding of reasoning, planning, memory, and execution patterns
- Strong Python skills
- Experience with APIs, async processing, and background workers
- Familiarity with vector databases
- Experience integrating AI with backend services and databases
- Experience with local / on-prem AI deployments
Locations: Egypt or Lebanon
Job type is Remote for Egypt and Hybrid for Lebanon.