# Senior AI Product Engineer — JODAYN

Canonical: https://jobxdubai.com/jobs/02ced737-senior-ai-product-engineer
Location: Riyadh, Saudi Arabia
Type: full_time · Level: senior
Monthly salary: AED 34,300 to 68,600 per month (estimated, not employer-stated) (UAE salaries are tax-free)
Posted: 2026-06-01
Apply: https://jobs.workable.com/view/1m7rc2q59M2GQyYQkZ3UVW/senior-ai-product-engineer-in-riyadh-at-jodayn

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## Description

Jodayn is seeking a highly skilled Senior AI Product Engineer to lead the design, development, and deployment of enterprise-grade artificial intelligence solutions and intelligent automation platforms.
The successful candidate will play a critical role in developing scalable AI-powered products and reusable enterprise AI services that support digital transformation, governance automation, proposal evaluation, intelligent document processing, and enterprise workflow optimisation.
This role requires a strong engineering mindset combined with hands-on experience in modern AI frameworks, large language model integration, AI orchestration, backend engineering, and enterprise solution development.
The ideal candidate must be capable of independently designing and delivering production-ready AI systems in fast-paced enterprise environments.

## Requirements

AI Platform Engineering
- Design, develop, and maintain scalable enterprise AI platforms and intelligent automation solutions
- Build modular and reusable AI services and APIs
- Develop AI-powered workflow automation systems and intelligent orchestration pipelines
- Design and implement scalable backend architectures supporting AI workloads

Agentic AI Development
- Build autonomous and semi-autonomous AI agents
- Develop multi-agent orchestration workflows and task delegation systems
- Implement memory management and contextual reasoning capabilities
- Integrate AI systems with external tools, APIs, and enterprise applications

Large Language Model Integration
- Integrate and optimise large language model services including Claude, OpenAI, and open-source models
- Develop prompt orchestration pipelines and retrieval-augmented generation architectures
- Implement vector database integration and semantic search capabilities
- Optimise model performance, response quality, and operational efficiency

Enterprise System Integration
- Integrate AI platforms with enterprise systems, collaboration tools, and document repositories
- Develop secure API integration patterns
- Support authentication and identity integration requirements
- Build AI-enabled enterprise workflow capabilities

Proposal & Compliance Automation
- Develop intelligent proposal generation and evaluation systems
- Build compliance validation and document inspection workflows
- Implement AI-assisted scoring and recommendation engines
- Support enterprise governance automation initiatives

Infrastructure & Deployment
- Deploy AI applications in cloud, hybrid, and on-premise environments
- Configure logging, observability, monitoring, and operational diagnostics
- Support containerisation and deployment automation practices
- Optimise infrastructure scalability and operational cost efficiency

Required Qualifications
Education
- Bachelor’s degree in Computer Science, Software Engineering, Artificial Intelligence, or related field
- Master’s degree is preferred but not mandatory

Experience
- Minimum 7 years of software engineering experience
- Minimum 3 years practical experience developing AI-powered applications
- Proven experience building and deploying production-grade AI systems
- Experience working in enterprise or regulated environments preferred

Required Technical Skills
Programming & Backend Development
- Python
- FastAPI or equivalent backend frameworks
- RESTful APIs
- PostgreSQL or equivalent databases
- Git and version control systems
AI Technologies
- Claude APIs
- OpenAI APIs
- LangGraph
- LangChain
- Retrieval-Augmented Generation
- Vector databases
- Prompt orchestration
- AI workflow automation
Frontend & Integration
- React or Next.js
- API integration
- Authentication and access control concepts
Infrastructure & DevOps
- Docker
- Linux environments
- CI/CD pipelines
- Cloud deployment concepts
Preferred Skills
- Experience with enterprise AI governance solutions
- Exp

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