AlgoDriven

Backend Engineer

AlgoDriven

Dubai, United Arab Emirates · Full Time

Be the first to apply

Experience
5+ yrs
Salary
Openings
1
Posted
2 days ago
Work mode
In office
Eligibility
Applicants must be currently living in the UAE. Visa sponsorship is provided, but relocation support is not available.
Resume
Required to apply

Where you'll work

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Job description

About AlgoDriven

AlgoDriven develops SaaS products targeting the automotive sector across regions including Australia, the Middle East, Southeast Asia, and Europe. Their notable products include EvalExpert for trade-in appraisals, DriveExpert for managing test drives, and APIs for pricing and VIN decoding, all servicing large dealership and OEM client data daily.

Our Engineering Approach

As an AI-focused engineering group, AlgoDriven's team integrates advanced coding agents directly with their terminal, repository, test suites, and deployment pipelines. Engineers primarily focus on defining precise specifications, thoroughly reviewing outputs, and owning the feature delivery lifecycle, while AI agents handle most code generation.

The role requires experience beyond standard autocomplete tools like Copilot, including constructing specs usable by agents, connecting agents to CLI tools or MCP servers, automating tests, and managing infrastructure with these agents, plus troubleshooting their limitations.

Role Responsibilities

  • Take full ownership of backend features from conceptualisation through deployment, monitoring, and iterations.
  • Lead the advancement and use of AI coding agents across the development pipeline.
  • Investigate and resolve production-grade issues including performance bottlenecks and data inconsistencies.
  • Provide deep expertise in MySQL, including query optimization, index management, working with large datasets, and database migrations.
  • Develop and scale backend services on AWS infrastructure.
  • Engage in architectural decision-making and offer mentorship as the team expands.

Essential Qualifications

  • Minimum five years of hands-on experience building backend systems with both PHP and Node.js, possessing strong knowledge in both technologies.
  • Proven practical usage of AI coding agents—not just code autocomplete—such as connecting coding agents to terminals and repositories, working spec-first, and deploying production code created thereby.
  • Advanced skills in MySQL performance tuning and query optimization.
  • Demonstrated capabilities in diagnosing and enhancing live backend systems.
  • Currently residing in the UAE; while the employer provides visa sponsorship, relocation from other countries is not supported.

Preferred Skills

  • Experience with custom agent tooling including MCP servers, CLI tool integrations, and agent-powered CI systems.
  • Familiarity with production AWS environments, containerization via Docker, and front-end frameworks like React.
  • Knowledge of queue systems, background processing, and event-driven architectures.
  • Experience working on SaaS products, multi-tenant systems, or high-traffic backend environments.

Compensation and Benefits

  • Competitive salary commensurate with experience.
  • Opportunity to engage in sustained product development rather than agency or client-based assignments.
  • Access to premium tools and resources necessary for the highest quality work.
  • Join a growing Dubai technology hub serving real users and handling significant data at scale, with career progression possibilities.

Application and Interview Process

The application process is streamlined to five minutes, including an AI-based interview assessing work ownership, debugging skills, and AI tooling proficiency (~35 minutes). Qualified applicants then undertake a technical evaluation (~65 minutes) covering PHP, JavaScript/Node.js, MySQL, and drafting coding specs suitable for AI agents. Only afterward will a human interview focus on background and fit. All applicants receive feedback without silent rejections.

Industry

Automotive

How they work

Problem Solving Attention to Detail Leadership Accountability

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