Senior Gen AI/Agentic AI Full stack Lead
On-siteNew Cairo, Cairo, Egypt
Job Summary
Design, develop, and deploy advanced Generative AI and Agentic AI solutions using Python, LangGraph, and Autogen frameworks. Collaborate with data engineers and stakeholders to understand business problems, process unstructured data from PDFs and images, and implement advanced RAG-based solutions with vector databases like Pinecone or Weaviate. Lead end-to-end delivery from requirement analysis to production deployment on AWS, Azure, or GCP, ensuring scalable architecture and CI/CD integration. Work within Lean/Agile methodologies to build RESTful APIs, fine-tune open-source models, and evaluate performance using tools such as RAGAS and DeepEval.
Required Qualifications
- Bachelor's degree in computer science, Engineering, Mathematics, Statistics, or related field
- Proficient in Python and common machine learning libraries such as TensorFlow, PyTorch, Scikit-learn, etc.
- Hands-on experience with CI/CD pipelines and DevOps tools like Jenkins, GitHub Actions, or Terraform
- Proficiency in NoSQL and SQL databases (PostgreSQL, MongoDB, CosmosDB, DynamoDB)
- Experience in Python AI/ML frameworks such as TensorFlow, PyTorch, or LangChain
- Experience in creating Web UI applications, ML models & pipelines, Gen AI and Agentic AI solutions
- Experience in Agentic AI frameworks like Autogen, Crew AI, Semantic Kernal, Langgraph etc.
- Strong understanding of LLM fine-tuning, local deployment of open source models
- Proficiency in building RESTful APIs using FastAPI, Flask, or Django
- Knowledge in Model evaluation tools like DeepEval, FMeval, RAGAS , Bedrock model evaluation
- Experience with perception (e.g. computer vision), time series data (e.g. text analysis)
- Data visualization tools such as Tableau, Query languages such as SQL, Hive
- Good applied statistics skills, such as distributions, statistical testing, regression, etc.
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