Senior Software Engineer

Careem’s ML Platform & GenAI Applications team sits at the intersection of engineering, data science, and product innovation. We provide the core tooling that lets every vertical — Ride-Hailing, Food, Groceries, Pay, and more — deliver intelligent, delightful experiences powered by Machine Learning and Generative AI. As a Senior Software Engineer on this team, you’ll be a hands-on technical leader: designing distributed systems, hardening new GenAI workflows, and making it effortless for product teams to move from prototype to production while meeting Careem-class standards for reliability, cost-efficiency, and responsible AI.

What you’ll do

• Design and build reusable services, APIs, and workflows that make it simple for product teams to prototype, test, and launch GenAI-driven features
• Co-create flagship GenAI applications such as RAG-powered help-center answers, driver-partner copilots, or marketplace-level demand forecasting assistants
• Influence architecture: keep the platform reliable, secure, and cost-effective while adding new capabilities like prompt versioning, model evaluation dashboards, or real-time feedback loops
• Champion MLOps & Responsible AI, establish guardrails, monitoring, and safe-launch practices so experiments can reach production with confidence
• Mentor teammates and share learnings through design reviews, mini-workshops, and internal demos
• Collaborate widely with designers, product managers, and data scientists to convert fuzzy product ideas into well-scoped engineering work

Requirements

• 7+ years of hands-on experience in software development with a solid foundation in principles and design practices
• Strong expertise in Python, Java, Go, or similar programming languages
• Hands-on experience with GenAI and ML platforms — fine-tuning transformers, managing embeddings, or rolling out RAG pipelines
• Working knowledge of vector databases (Pinecone, Milvus, Weaviate) and model-aware search
• Strong foundations in software design, networking, security, observability, and CI/CD
• Experience with cloud control planes (AWS, GCP, etc.) or database internals, including query optimization
• Proven ability to drive projects from inception to production and mentor other engineers
• Experience with ML platforms and MLOps is a must