Artificial Intelligence Engineer

AGMC; Dubai; On-site; AED 250,000 - 450,000; Full time

Job summary

AGMC is seeking an AI Engineer to take ideas from prototype to production, building scalable AI/ML systems and data architectures. The role combines software engineering, applied ML, Generative AI and data engineering to transform business processes.

You will design and deploy end-to-end AI pipelines, develop backend services with FastAPI/Flask, and ensure production reliability, governance and security across AGMC's systems.

Qualifications

• Strong Python and software engineering fundamentals.
• Hands-on ML/DL with Generative AI and LLMs.
• Experience with LangChain and LlamaIndex.
• Solid data architecture and PostgreSQL skills.

Responsibilities

• Design, build and optimize ML/DL models and LLM-powered apps.
• Develop end-to-end AI pipelines from training to monitoring.
• Create backend services and APIs with FastAPI / Flask.
• Design data architecture and optimize PostgreSQL schemas.
• Collaborate with IT, Digital, Product, Data and business teams.
• Ensure security, governance and responsible AI practices.
• Deploy AI solutions from PoC to production and monitor in production.

Skills

Python

Software engineering

AGI/Applied ML

Agile / collaboration

Independent work

Education

Bachelor's or Master's in CS / AI / Data Science

Tools

PyTorch

TensorFlow

LangChain

LlamaIndex

PostgreSQL

Docker

Kubernetes

MLflow

REST APIs

AWS

Azure

GCP

Job description

About the Role

We're looking for an AI Engineer who can take ideas from prototype to production — building scalable AI/ML systems and the data architecture behind them. This is a hands-on role combining strong software engineering, applied machine learning, Generative AI and data engineering.

The ideal candidate will be responsible for developing practical AI solutions that support business transformation, automation and improved decision‑making across AGMC.

What You'll Do

• Design, build and optimize ML/DL models and LLM‑powered applications, including Agentic AI, Generative AI and RAG solutions.

• Build end‑to‑end AI pipelines covering training, inference, evaluation and monitoring.

• Develop clean, scalable and well‑tested backend services and APIs using FastAPI / Flask.

• Design data architecture and manage data storage, primarily using PostgreSQL, including schema design, data modelling and performance optimization.

• Work with large datasets, including data preprocessing, feature engineering and model evaluation.

• Develop and integrate AI solutions into existing business applications and systems.

• Monitor AI/ML models in production and continuously improve accuracy, latency, reliability and scalability.

• Develop proof‑of‑concepts and take successful AI solutions through to production.

• Collaborate with IT, Digital, Product, Data and business teams to identify and deliver AI use cases.

• Ensure AI solutions follow appropriate security, privacy, governance and responsible AI practices.

• Stay up to date with emerging AI technologies and identify opportunities to apply them within AGMC.

What We're Looking For

• Strong Python skills and solid software engineering fundamentals, including clean code, testing and Git.

• Hands‑on experience with PyTorch and/or TensorFlow.

• Practical experience with Agentic AI, Generative AI, LLMs and RAG.

• Experience with LLM frameworks and tooling such as LangChain and/or LlamaIndex.

• Strong data architecture and database skills, particularly PostgreSQL.

• Familiarity with vector databases such as Pinecone, Weaviate or FAISS.

• Experience with cloud platforms such as AWS, Microsoft Azure or Google Cloud Platform.

• Understanding of MLOps and production deployment, including Docker, Kubernetes, CI/CD and MLflow.

• Experience developing and consuming REST APIs.

• Strong analytical and problem‑solving skills.

• Clear communicator with the ability to work independently and take ownership of projects from concept through to production.

• Experience working in an Agile / collaborative environment.

Nice to Have

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering or a related field.

• Experience deploying AI applications at scale within an enterprise environment.

• Strong prompt engineering skills and understanding of AI safety and responsible AI.

• Experience with AI agents and multi‑agent architectures.

• Exposure to reinforcement learning or multimodal AI.

• Experience working with automotive, retail, mobility or other customer‑focused industries would be an advantage.

• Experience taking AI solutions from proof‑of‑concept to production.

Tools & Technologies

Python FastAPI / Flask PyTorch / TensorFlow PostgreSQL SQL LangChain / LlamaIndex RAG Vector Databases Docker Kubernetes Git AWS Azure GCP MLflow CI/CD