AI Software Engineer - Dubai

DISCOVERED; Dubai; On-site; AED 180,000 - 300,000; Full time

Job summary

Discovered MENA is collaborating with a fast-growing AI technology startup to hire an AI Software Engineer. You will contribute to building AI-powered products across frontend and backend, integrating LLMs, RAG, and agentic capabilities into production-ready applications.

Join a lean, ambitious startup environment during a pivotal growth phase, taking ownership of features from design to deployment. You will work with AI Engineers and DevOps to ensure scalable, observable cloud deployments and

Qualifications

• 5+ years of professional software engineering experience across frontend and backend.

Responsibilities

• Design, develop and maintain scalable fullstack applications across backend services, APIs and frontend interfaces.

Skills

Python

FastAPI

TypeScript

React/Next.js

APIs

LLMs

RAG

Vector databases

Agent orchestration

Cloud technologies

AWS

CI/CD

Containers

Observability

DevOps

Tools

Claude Code

Codex

Job description

Job description

Discovered MENA is partnering with a fast-growing AI technology startup looking to hire an AI Software Engineer to join its expanding engineering team.

This is an opportunity to build and deliver AI-powered products, working across frontend and backend development while integrating LLMs, RAG and agentic capabilities into production-ready applications. You’ll work closely with AI Engineers to transform intelligent models and systems into scalable, user-centric software.

The business is entering a significant phase of product delivery and growth, making this an ideal opportunity for a hands-on engineer who enjoys solving complex problems, taking ownership and working within a lean, ambitious startup environment.

Discover the Responsibilities:

• Design, develop and maintain scalable fullstack applications, working across backend services, APIs and modern frontend interfaces.




• Build production-grade backend systems using Python/FastAPI and frontend applications using TypeScript and modern JavaScript frameworks.




• Collaborate with AI Engineers to integrate LLMs, RAG pipelines, vector databases and agentic workflows into AI-powered products.




• Develop and integrate AI services, including model APIs, retrieval systems and agent orchestration, to deliver intelligent user experiences.




• Take ownership of features across the full software development lifecycle, from system design and development through to testing, deployment and production support.




• Contribute to the deployment of AI applications within cloud environments, working closely with DevOps and Infrastructure Engineers to ensure scalability, reliability and observability.




• Participate in code reviews, technical discussions and system design, writing clean, maintainable and well-tested code.




• Explore and utilise AI-assisted development tools, such as Claude Code and Codex, to improve engineering productivity and delivery.

Discover the Requirements:

• 5+ years of professional Software Engineering experience, with strong hands-on expertise across both frontend and backend development.




• Strong backend development experience, ideally using Python and FastAPI, alongside frontend experience with TypeScript and modern frameworks such as React or Next.js.




• Proven experience designing, building and deploying production-grade software applications, ideally within a product-led or startup environment.




• Practical experience building or integrating AI-powered applications, with an understanding of LLMs, RAG, vector databases, AI agents and agentic workflows.




• Experience working with cloud technologies and deploying applications into production, ideally AWS, although other major cloud platforms will be considered.




• Strong understanding of software engineering fundamentals, including API design, distributed systems, scalability, testing and system design.




• Exposure to CI/CD, containerisation, observability and modern cloud-native development practices would be advantageous.




• A strong problem-solving mindset, willingness to learn new technologies and the ability to take ownership within a fast-moving, collaborative engineering team.