AI Engineer - Research, AI4ALL

Valeo is hiring an AI Engineer - Research, AI4ALL in Cairo, Egypt. Level rates it ; you can apply on Valeo.

Level's read on this job

On Level's scale, this AI engineer role is Builds AI ●●●●: the job is building AI systems.
Tools and skills the posting cites include Vertex AI, RAG and AI agents.
Level classifies it as a mid-level role.
Level lists 1,000+ other open roles at Valeo.

AI in this role

vertex-ai

ragai-agentsml-ops

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.

Responsibilities
- Design, develop, and deploy end-to-end ML/AI solutions.
  Build and optimize LLM-based systems (Agents, Agentic workflows, RAG pipelines, embeddings, multimodal, etc.).
- Research, evaluate, and experiment with new AI techniques, models, tools, and frameworks, and assess their feasibility, performance, and business impact.
- Fine-tune, evaluate, and benchmark systems using quantitative and AI-Based evaluation methods.
- Stay up to date with advancements in the field. Drive adoption of relevant innovations into production systems.
- Design AI system architecture with focus on production aspects such as scalability, latency, cost efficiency, and reliability.
- Collaborate with product, backend, and cloud teams to integrate AI systems.
Requirements
- 4+ years of hands-on experience in AI/ML development.
- Master’s degree (MSc) in AI, Machine Learning, Computer Science, or a related field. (a significant advantage)
- Solid ML/AI fundamentals.
- Strong practical experience in AI related developments (Python, frameworks, tools, etc.).
- Strong analytical, problem-solving, and communication skills.
- Experience deploying AI solutions to production environments.
- Experience with cloud AI platforms (e.g., GCP, Vertex AI).
- Familiarity with MLOps, monitoring, and CI/CD pipelines.
- Familiarity with MLOps, monitoring, and CI/CD pipelines

Job:

R&D IS Engineer

Organization:

GTSC Artificial Intelligence

Schedule:

Full time

Employee Status:

Regular

Job Type:

Job Posting Date:

2026-09-02

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

How we rate this

AI Engineer - Research, AI4ALL at Valeo rates 89 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

AI Engineer - Research, AI4ALL is an open job at Valeo.
Level rates this role AI Level 4 of 4: Builds AI.
The role is based in Cairo.
The job was posted on September 2, 2026.
Seniority: mid.
Applications are handled by Valeo. Apply on Valeo

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

RAGAI agentsML OpsVertex AI

Also common in AI engineer jobs at this level

AWS Generative AI Azure PyTorch Java LangChain

Pay

Typical AI engineer job: $183k

This posting doesn't list pay. Use the typical AI engineer figure when pay comes up. See AI engineer jobs

Questions you could be asked

How would you design a retrieval step so the model answers from real data instead of guessing?
How do you decide when an AI agent can act on its own versus asking for approval first?
How do you monitor a model once it's live, and how do you know it needs retraining?
What's a project where you used Vertex AI hands-on?
How would you decide a model or AI system is ready to ship?

Adapt your resume

List these exact terms on your resume: RAG, AI agents, ML Ops, and Vertex AI. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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