Develop solutions leveraging RAG, embeddings, vector search, knowledge bases, and enterprise data sources.
Implement LLM tool/function calling and integrate agents with APIs, databases, enterprise applications, and external services.
Work with Agentic AI frameworks such as LangGraph/LangChain, Microsoft Semantic Kernel, AutoGen, or equivalent.
Develop scalable backend components and APIs using Python and modern software engineering practices.
Implement security, guardrails, evaluation, monitoring, observability, and Responsible AI practices.
Design evaluation approaches for agent quality, accuracy, reliability, performance, and cost.
Deploy and operate AI solutions within cloud and containerized environments.
Collaborate with AI/Data Architects, Data Engineers, Product Owners, and business stakeholders to translate business use cases into scalable solutions.
Independently own significant technical components and contribute to solution design and engineering decisions.
Mentor junior engineers and contribute to engineering standards, reusable components, and best practices.
Mandatory Skills & Experience
5+ years of professional experience in software engineering, AI engineering, data engineering, or related technical roles.
Strong hands-on development skills in Python.
Practical experience building applications using Generative AI / LLMs.
Hands-on experience developing Agentic AI solutions, intelligent workflows, or advanced LLM-based applications.
Strong understanding of
LLMs and prompt engineering
Agent orchestration and tool/function calling
RAG architectures
Embeddings and vector search
Context and memory management
API and enterprise system integration
Experience with at least one Agentic AI / GenAI framework such as LangGraph, LangChain, Semantic Kernel, AutoGen, or equivalent.
Strong software engineering fundamentals including API development, Git, testing, CI/CD, and production-quality coding practices.
Experience with Docker and/or Kubernetes.
Experience with at least one major cloud platform: Azure, AWS, or GCP.
Strong analytical, troubleshooting, and problem-solving skills.
Ability to work independently and take end-to-end technical ownership of assigned components.
Strong Advantage: Data Engineering
Candidates with a Data Engineering background or strong data engineering foundation will have a significant advantage.
Relevant experience may include
Data pipelines, ETL/ELT, and data integration patterns
Working with structured, semi-structured, and unstructured data
Strong SQL and database experience
Data lakes, lakehouses, warehouses, and modern data platforms
Technologies such as Databricks, Spark, Snowflake, Microsoft Fabric, Azure Data Factory, AWS Glue, or equivalent
Data quality, metadata, governance, lineage, and security
Integrating enterprise data platforms with GenAI, RAG, and Agentic AI solutions
Additional Nice-to-Have Skills
Experience with enterprise GenAI platforms such as Azure AI Foundry / Azure OpenAI, AWS Bedrock, or equivalent.
Experience with vector search/vector database technologies such as Azure AI Search, pgvector, Pinecone, Weaviate, Milvus, or equivalent.
Knowledge of MLOps / LLMOps practices.
Experience with LLM/agent evaluation, tracing, monitoring, and observability.
Understanding of cloud-native and microservices architectures.
Experience implementing Responsible AI, security, content safety, and AI governance controls.
Experience delivering AI solutions within large enterprise environments.
Candidate Profile
We are looking for someone who is
Hands-on and engineering focused, rather than purely conceptual or architectural.
Able to take an Agentic AI use case from technical design through implementation and production deployment.
Comfortable working across AI, software engineering, cloud, and data technologies.
Able to evaluate and quickly adopt emerging Agentic AI technologies where appropriate.
Capable of working independently while collaborating effectively with architects and multidisciplinary teams.
Able to mentor less experienced engineers and contribute to reusable engineering assets and standards.
Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2024 global revenues of €22.1 billion. Make it real | www.capgemini.com
Ref. code
532762
Posted on
Nov 5, 2026
Experience Level
Experienced Professionals
Contract Type
Permanent
Location
Cairo, EG
Brand
Capgemini
Professional Community
Data & AI
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