aimlroles

Fullstack- AI Engineer, AI4ALL

Valeo Open · verified Oct 22, 2026
Cairo Full-time Mid-level AI Engineering

At a glance

Mid-level AI Engineering role at Valeo. Cairo · full-time.

Pay not stated AI Engineering salary

RoleAI Engineering
SeniorityMid-level
LocationCairo
EmploymentFull-time
PostedSep 6, 2026 · 6w ago
Role brief

aimlroles summary, based on the employer's posting.

What you'll do

  • Build features across the AI framework, connecting backend services and agent pipelines with the interfaces people use
  • Create APIs that link language models and agent workflows with tools and data
  • Develop internal AI dashboards and interfaces that use the backend APIs you create
  • Improve retrieval-augmented generation and coordinate how language models are used
  • Run cloud services in containers, test them at several levels, and document components and engineering practices

What you bring

  • You have two to five years of professional software engineering experience
  • You can deliver work across backend and frontend, from an API endpoint through to its user interface
  • You have hands-on experience building generative AI systems with language models, retrieval, prompts or agent frameworks
  • You have used containers such as Docker in your development work
  • You hold a bachelor's degree in computer science, communication, mechatronics, electronics or computer engineering

Who this fits

This role suits a mid-level engineer who wants to build both the server-side and user-facing parts of AI tools. The job is full-time in Cairo, Egypt.

From the employer

Valeo is a tech global company, designing breakthrough solutions to reinvent the mobility. We are an automotive supplier partner to automakers and new mobility actors worldwide. Our vision? Invent a greener and more secured mobility, thanks to solutions focusing on intuitive driving and reducing CO2 emissions. We are leader on our businesses, and recognized as one of the largest global innovative companies.

Mission

Our mission is to revolutionize existing and new Valeo products, tools and processes by harnessing the power of cutting-edge generative AI. We aim to drive unprecedented efficiency across Valeo product portfolio, reducing development costs and achieving a new level of intelligent automation.

Through relentless research, we design and build a robust and adaptable AI framework that seamlessly integrates into our current workflow.

We are committed to fostering a collaborative environment where researchers, engineers, and product teams work in unison to explore innovative solutions. We believe that by strategically integrating AI, we can optimize internal processes, streamline workflows, and drive long-term success within Valeo's existing and new product landscape.

Through relentless research, we design and build a robust and adaptable AI framework that seamlessly integrates into our current workflow.

We are committed to fostering a collaborative environment where researchers, engineers, and product teams work in unison to explore innovative solutions. We believe that by strategically integrating AI, we can optimize internal processes, streamline workflows, and drive long-term success within Valeo's existing and new product landscape.

Responsibilities

  • Design, build, and maintain end-to-end features across our AI framework — from backend services and agentic pipelines to the user-facing interfaces that expose them.

  • Develop backend APIs and services that integrate LLMs, agentic workflows, and tool/data integrations.

  • Build and maintain frontend interfaces for internal AI tools and dashboards, working directly with the same APIs you build on the backend.

  • Implement and optimize RAG pipelines and LLM orchestration.

  • Deploy and operate services on cloud infrastructure using containerization, with attention to observability, performance, and reliability in production.

  • Conduct testing at multiple levels (unit, API, load) for the components you build, on both backend and frontend.

  • Document components and contribute to team-wide engineering standards and best practices.

Education/Training

  • B.Sc. in Communication, Mechatronics, Electronics or Computer Engineering.

  • B.Sc. in Computer science

Professional Experience

  • 2-5 years of professional software engineering experience.

  • Hands-on experience with both backend and frontend development (e.g., Python/FastAPI on the backend, React/TypeScript on the frontend) — you should be comfortable owning a feature from an API endpoint through to the UI that consumes it, not backend or frontend alone.

  • Practical, hands-on experience with generative AI / LLM-based systems specifically — e.g., building with LLM APIs, RAG, prompt engineering, or agentic frameworks; general/classical ML or data science experience alone does not substitute for this.

  • Experience with containerization (e.g., Docker).

Preferred Qualifications:

  • Experience with a cloud platform (AWS, Azure, GCP, or similar); hands-on experience with Google Cloud Platform (GCP) specifically is a big plus.

  • Experience with an agentic/LLM-orchestration framework such as Google ADK, LangChain, LangGraph, or CrewAI.

  • Familiarity with tool-integration standards such as MCP (Model Context Protocol).

Job:

R&D Engineer

Organization:

Software Development

Schedule:

Full time

Employee Status:

Regular

Job Type:

Job Posting Date:

2026-06-02

Join Us !
Being part of our team, you will join:
- one of the largest global innovative companies, with more than 20,000 engineers working in Research & Development
- a multi-cultural environment that values diversity and international collaboration
- more than 100,000 colleagues in 31 countries... which make a lot of opportunity for career growth
- a business highly committed to limiting the environmental impact if its activities and ranked by Corporate Knights as the number one company in the automotive sector in terms of sustainable development

More information on Valeo: https://www.valeo.com