Senior Software Engineer – AI, Python & Rust

IdeaCrate Edutainment Company LLC; United Arab Emirates; On-site; AED 67,000 - 78,000; Full time

Job summary

Ideacrate in the United Arab Emirates is seeking a Senior Software Engineer - AI, Python & Rust to drive design, development and deployment of secure, scalable software and AI-enabled business applications with a hands-on, startup-oriented approach.

You will own the AI lifecycle and collaborate with the CDO to translate business requirements into reliable products and digital solutions, ensuring robust APIs, data protection and performance across platforms.

Qualifications

• 6-8 years of professional software engineering experience.
• Strong production Python skills and Rust development experience.
• Delivery of AI applications across development, evaluation, deployment and monitoring.
• Experience with mobile application backends, APIs, ERP/CRM integrations and relational databases.

Responsibilities

• Develop and maintain production software using Python and Rust; select languages where appropriate.
• Design backend services, APIs, databases and scalable architecture; own reviews, testing, security and performance.
• Manage SDLC from requirements through CI/CD, deployment, monitoring and maintenance.
• Build and integrate AI-enabled features, LLM applications, intelligent workflows and automation.

Skills

Python

Rust

AI/ML

English fluency

Education

Bachelor's degree in CS/SE

Tools

AWS

Docker

Kubernetes

PostgreSQL

Job description

Senior Software Engineer - AI, Python & Rust

6-8

Ideacrate

Full-Time

AED 6000 - 7000 (Monthly)

Role Purpose:

Own the design, development, integration, deployment and continuous improvement of secure, scalable software and AI-enabled business applications. Work closely with the CDO to translate business requirements into reliable products and digital solutions, with a hands-on, startup-oriented approach.

Key responsibilities

Software engineering & architecture

• Develop and maintain production software using Python and Rust, selecting each language where technically appropriate.
• Design backend services, APIs, databases and scalable application architecture; own code reviews, testing, security and performance.
• Manage the software development lifecycle from requirements and design through CI/CD, deployment, monitoring and maintenance.
• Build and integrate AI-enabled features, LLM applications, intelligent workflows and automation.
• Own the AI lifecycle: use-case definition, data preparation, model/API selection, evaluation, deployment, monitoring and improvement.
• Implement data protection, access controls, testing and human oversight for AI solutions.

Mobile applications & integrations

• Build backend services supporting iOS/Android applications, including authentication, notifications and payment or third-party integrations as required.
• Develop REST APIs, webhooks and middleware connecting ERP, CRM, HRMS and other business platforms.
• Ensure secure data synchronization, resilient error handling, observability and integration documentation.
• Translate business needs into technical specifications, delivery milestones and MVPs; prioritize speed with maintainability.
• Coordinate with the CDO, internal stakeholders and vendors; communicate risks, progress and trade-offs clearly.
• Produce architecture diagrams, API documentation, release notes, runbooks and handover materials.

Required qualifications & experience

• 6-8 years of professional software engineering experience, including hands-on product development.
• Strong production Python skills and practical Rust development experience.
• Demonstrable delivery of AI applications across development, evaluation, deployment and monitoring.
• Experience with mobile application backends, APIs, ERP/CRM integrations and relational databases.
• Experience in a startup, scale-up or product-owning organization; direct product ownership preferred over exclusively outsourced service delivery.
• Working knowledge of cloud infrastructure, Git, CI/CD, containers, testing and secure engineering practices.
• Excellent spoken and written English, stakeholder communication and technical documentation.
• Bachelor’s degree in Computer Science, Software Engineering or related discipline, or equivalent demonstrated experience.

Preferred exposure

AWS/Azure/GCP; PostgreSQL/MySQL; Docker/Kubernetes; RAG, LLM evaluation and MLOps; Flutter/React Native ecosystems; Odoo, Microsoft Dynamics or Salesforce; retail, education, entertainment or other consumer-facing products.

Performance scorecard (proposed KPIs)

Targets below are proposed for CDO approval after a 30-day baseline and should be calibrated to project complexity, available resources and agreed delivery scope.

KPI Weight Proposed measure / target Review

Delivery predictability 20% ≥90% of committed sprint/milestone deliverables completed on time; changes documented and approved Monthly

Quality & production stability 20% No unresolved critical defects at release; ≥95% of agreed automated tests pass; severity-1 incidents reviewed with corrective actions Monthly

AI solution delivery & effectiveness 20% Deliver agreed AI use cases against acceptance criteria; document evaluation, accuracy/quality, cost and monitoring before release Quarterly

Integration reliability 15% ≥99% successful scheduled integration transactions (excluding third-party outages); failures monitored and reconciled Monthly

Engineering standards & security 10% 100% of production changes peer-reviewed or CDO-approved; no overdue critical security findings within agreed remediation SLA Monthly

Documentation & handover 10% 100% of production services have current API/architecture notes, deployment instructions and operational runbooks Quarterly

Stakeholder collaboration 5% Weekly progress/risk reporting; ≥4/5 average stakeholder feedback on communication and responsiveness Quarterly