Summary
JODAYN is seeking a Senior AI Product Engineer in Riyadh to design, build, and deploy enterprise AI platforms, intelligent automation, and reusable AI services. The role includes developing AI agents and orchestration workflows, integrating large language models and enterprise systems, and delivering document, proposal, and compliance automation. Candidates should have at least seven years of software engineering experience and at least three years developing AI-powered applications, with a bachelor’s degree in a related field. Production AI deployment experience is required; enterprise or regulated-environment experience is preferred.
The posting
As published on jodayn.com. Pulled from the employer's site and shown as they wrote it.
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
- Experience with intelligent document processing systems
- Experience using AI-assisted development tools
- Exposure to multi-agent systems and orchestration frameworks
- Familiarity with enterprise architecture concepts
Core Competencies
- Strong analytical and problem-solving skills
- Ability to independently deliver complex technical solutions
- Strong software design capability
- Fast execution and delivery orientation
- Excellent communication and documentation skills
- Ability to work in fast-paced enterprise environments