Senior Software Engineer II - GenAI Platform

Rocket Lab; Dubai; Hybrid; AED 200,000 - 300,000; Full time

Job summary

A leading technology company is seeking a Senior Software Engineer to join its ML Platform & GenAI Applications team in Dubai. You will design robust systems and services that empower product teams to innovate with GenAI, while enhancing reliability and efficiency. Candidates should possess over 7 years of experience, proficiency in Python or Java, and a solid foundation in software design and MLOps. The role offers an opportunity to drive impactful projects while mentoring other engineers, within a supportive and flexible work environment.

Benefits

Unlimited vacation days

Access to healthcare benefits

Fitness reimbursements

Work remotely from any country for 30 days a year

4 days in office & 1 day from home (tech roles have 2 office days)

Qualifications

• 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 platform and MLOps is a must.

Responsibilities

• 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 like driver-partner copilots or marketplace-level demand forecasting assistants.
• Influence architecture to keep the platform reliable, secure, and cost-effective while adding new capabilities.
• Champion MLOps & Responsible AI, establish guardrails, monitoring, and safe-launch practices.
• Mentor teammates and share learnings through design reviews and internal demos.
• Collaborate widely with designers, product managers, and data scientists.

Skills

Python

Java

Go

MLOps

GenAI

Software Design

Cloud Control Planes

Database Internals

Job description

Careem is building the Everything App for the greater Middle East, making it easier than ever to move around, order food and groceries, manage payments, and more. Careem is led by a powerful purpose to simplify and improve the lives of people and build an awesome organisation that inspires. Since 2012, Careem has created earnings for over 2.5 million Captains, simplified the lives of over 70 million customers, and built a platform for the region’s best talent to thrive and for entrepreneurs to scale their businesses. Careem operates in over 70 cities across 10 countries, from Morocco to Pakistan.

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 for example, RAG-powered help-centre 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

What you’ll need

• 7+ years of hands-on experience in software development with 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 platform and MLOps is a must

What we’ll provide you

We offer colleagues the opportunity to drive impact in the region while they learn and grow. As a full time Careem colleague, you will be able to:

• Work and learn from great minds by joining a community of inspiring colleagues.
• Put your passion to work in a purposeful organisation dedicated to creating impact in a region with a lot of untapped potential.
• Explore new opportunities to learn and grow every day.
• Work 4 days a week in office & 1 day from home, and remotely from any country in the world for 30 days a year with unlimited vacation days per year. (If you are in an individual contributor role in tech, you will have 2 office days a week and 3 to work from home.)
• Access to healthcare benefits and fitness reimbursements for health activities including gym, health club, and training classes.