Senior AI Product Engineer

JODAYN | جودين; Riyadh; On-site; SAR 300,000 - 540,000; Full time

Job summary

Jodayn is seeking a Senior AI Product Engineer to lead the design, development, and deployment of enterprise-grade AI solutions and intelligent automation platforms. The role focuses on scalable AI-powered products, reusable enterprise AI services, and governance automation for digital transformation.

You will design and deliver production-ready AI systems, integrate with Claude/OpenAI/LangChain ecosystems, and build robust backend architectures supporting AI workloads in enterprise environments.

Qualifications

• Bachelor's in CS/SWE/AI or related field.
• Master's degree preferred but not mandatory.
• Minimum 7 years of software engineering experience.
• 3+ years building AI-powered applications and platforms.

Responsibilities

• Design, build, and scale enterprise AI platforms and services.
• Develop modular AI-backed workflows and orchestration pipelines.
• Integrate AI systems with external tools, APIs, and enterprise apps.
• Lead production-ready AI system delivery in fast-paced environments.

Skills

Python

FastAPI

REST APIs

PostgreSQL

Git

7+ years software engineering

3 years AI-powered apps

production-grade AI systems

enterprise environments

React / Next.js

API integration

Docker

Linux

CI/CD

Cloud deployment

enterprise AI governance

intelligent document processing

multi-agent orchestration

enterprise architecture concepts

Education

Bachelor's degree in CS / SWE / AI

Master's degree preferred

Tools

Claude APIs

OpenAI APIs

LangGraph

LangChain

Retrieval-Augmented Generation

Vector databases

Prompt orchestration

AI workflow automation

Job 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


• 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