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Role Overview We are seeking a AI Developer / AI Platform Engineer to design, secure, and operate the delivery pipelines and runtime platforms for Smart MRO digital products. This role sits at the intersection of software delivery, infrastructure, and cybersecurity, supporting deployments across regulated environments while ensuring security, reliability, and operational readiness for long‑term support under Group IT ownership. Key Responsibilities: CI/CD & Platform Engineering Design, implement, and maintain CI/CD pipelines for Smart MRO digital products using GitLab CI/CD and Docker containerisation. Standardise build, test, and deployment pipelines to support secure, repeatable releases across environments. Security, Compliance & Governance Coordinate closely with Group IT, DPS Cybersecurity, and relevant stakeholders to support deployments across enterprise and standalone environments. Lead and support security reviews with GISO, including documentation, remediation tracking, and clearance approvals. Embed security controls into the Software Development Life Cycle (SDLC), including vulnerability scanning, secrets management, and secure configuration baselines. Core Platform Ownership Own and maintain the core platform architecture, including: Web and reverse‑proxy components (e.g., NGINX) Container runtime and orchestration (Docker‑based) SSL/TLS certificate management and secure endpoint configuration Ensure platform stability, performance, and operational visibility. Operations Readiness (Day‑2) Plan and execute the transition from project delivery to Day‑2 operations and maintenance under Group IT ownership. Document operational procedures, runbooks, and support models to ensure smooth handover and long‑term maintainability. Resilience & Continuity Establish and ensure Disaster Recovery (DR) and Business Continuity Management (BCM) practices are designed, tested, and maintained. Support risk assessments and remediation plans for availability, recoverability, and service resilience. Data Exchange & Integration Design and develop secure data exchange pipelines with external authorities and stakeholders Ensure data transfers comply with security, governance, and regulatory requirements, including encryption, access controls, and auditability. Requirements Educational Background Degree in Computer Science, Data Science, Artificial Intelligence, or related fields Experience Level Open to candidates without prior experience with strong fundamentals and project experience 2–3 years of relevant experience in AI/ML or full-stack development will be a bonus Technical Skills Familiarity with common development stacks such as: Frontend: React Backend: Node.js AI/ML: PyTorch, OpenCV Exposure to building or integrating AI/ML models is advantageous Exposure to DevSecOps with experience in building CI/CD pipelines will be advantageous
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.