Siemens Energy
"We energize society" by supporting our customers to make the transition to a more sustainable world, based on innovative technologies and our ability to turn ideas into reality. With nearly 100,000 employees around the world, we shape the energy systems of today and tomorrow.
Gas Services
Low-emission power generation through technology, solutions, service and decarbonization. We enhance and innovate conventional and renewable power supply and make the most of our energy sources to support the energy transition.
About the Role
Location
Egypt
Al Qahirah
Cairo
Company
Siemens Energy S.A.E.
Organization
Gas Services
Business Unit
Service Middle East
Full / Part time
Full-time
Experience Level
Early Professional
ABOUT THE ROLE
We are seeking an experienced AI/LLM Full-Stack Engineer to engage as an external contractor with our Gas Services Team in Cairo, Egypt . This role spans the full lifecycle of enterprise AI solutions -from strategic use-case identification and rapid prototyping through to scalable cloud deployment and ongoing application support. The ideal candidate brings a proven track record of delivering LLM-powered applications in production environments and the communication skills to work closely with engineering stakeholders as a trusted digital consulting partner.
A SNAPSHOT OF YOUR DAY
You will be embedded within the Gas Services Middle East Digital team, owning end-to-end delivery of LLM application workstreams. A typical week might involve aligning with stakeholders on a new digital use case, leading a sprint to extend a RAG pipeline, reviewing a junior developer's API integration, and resolving a support ticket all while driving digitalisation of manual efforts in the business.
HOW YOU'LL MAKE AN IMPACT
Full-Stack Development & Integration
- Design, build, and deploy robust, scalable full-stack applications integrating React/HTML front-ends with Python/FastAPI back-end LLM services.
- Develop and manage RESTful APIs to embed AI models into existing engineering platforms and enterprise workflows.
- Implement and manage digital pipelines to automate testing and deployment ensuring full compliance to ISO27001 and Cybersecurity/AI Governance standards.
- Collaborate with and provide technical guidance to internal team members, ensuring alignment with project standards, security requirements, and delivery timelines.
AI Application Strategy & Prototyping
- Partner with engineering stakeholders to identify and evaluate high-value opportunities for LLM-based applications(Open AI/Claude) addressing real operational and business needs.
- Translate user requirements and process challenges into detailed technical specifications for AI-powered tools and service assistants.
- Develop proof-of-concept prototypes using LangChain, MCP, RAG pipelines, and agentic workflow frameworks in Azure/Snow Flake/AWS environments - validating feasibility within rapid sprint cycles.
- Present prototype outcomes and recommendations to technical and non-technical stakeholders to support business decisions.
Application Support & Lifecycle Management
- Provide support for deployed AI applications and monitor application performance and reliability while implement continuous optimisation based on usage data and user feedback.
- Create and maintain comprehensive documentation – ETL Workflows, architecture decision records, API references, runbooks, and operational procedures.
- Support knowledge transfer to internal teams to ensure long-term maintainability beyond the contract engagement.
WHAT YOU BRING
- Bachelor's/Master’s degree in Computer Science Engineering.
- 3 years of full-stack engineering experience, with a minimum of 1 years focused on AI/ML and LLM application development.
- Engage stakeholders to identify manual, paper-based, or inefficient processes and evaluate high-value digitalisation opportunities.
- Advanced proficiency in Python; strong experience with LangChain, or equivalent LLM frameworks and knowledge of PowerBI to build dashboards for analytics.
- Demonstrated understanding of agentic workflows, Model Context Protocol (MCP), RAG pipelines, NLP, and generative AI.
- Proven experience developing and managing REST APIs and integrating AI services into enterprise platforms using OpenAI/Claude.
- Production deployment experience on AWS and/or Azure; familiarity with DevOps practices and containerisation.
- Proficiency with modern front-end frameworks - React preferred with experience on HTML.
- Strong stakeholder communication and ability to understand and develop front end/backend of application, define requirements, and present technical recommendations to non-technical audiences.
- Deploy automated workflows that eliminate repetitive manual effort, streamline approvals, and enhance team productivity.
- Drive adoption of digital tools through demonstrations, user training, and change management support - ensuring teams embrace and sustain new ways of working.
- Support the broader digitilisation strategy by championing continuous improvement and measurable impact across engineering processes.