📍 Dubai, UAE (Hybrid)
We are looking for a Senior Tech Lead with exceptional depth in AI, data systems, and product innovation.
This is not a traditional software engineering management role. We are seeking a world-class thinker and builder who is passionate about challenging legacy incumbents, leading deep technical exploration, and shipping real products that change the game.
You will lead forward-looking R&D efforts, explore and prototype breakthrough ideas, and set the technical direction as this company scales across the MENA region. Working directly with the founders, you’ll have a primary voice in shaping not only what we build, but how we think.
What you'll do:
- Lead Technical Innovation: Identify whitespace opportunities, challenge legacy solutions, and architect future-ready systems for credit intelligence.
- Prototype & Build: Translate abstract concepts into high-impact prototypes and production-grade systems using AI and real-time data infrastructure.
- Set Technical Direction: Own the architectural roadmap and strategic vision for R&D initiatives with autonomy and clarity.
- Push the Edge: Evaluate and apply emerging techniques in foundation models, causal inference, streaming analytics, and real-time ML.
- Collaborate Across Disciplines: Partner with product, design, data science, and executive leadership to align technical innovation with strategic goals.
- Mentor & Elevate: Raise the bar for engineering and research excellence while building and scaling a high-performing team around you.
Who you are:
- You’ve led complex, high-impact engineering or AI projects at companies known for technical excellence (Big Tech, top-tier AI labs, or venture-backed startups).
- You possess a strong grasp of the math, the models, and their practical application to real-world systems.
- You are an active individual contributor who codes daily, prototypes rapidly, and understands systems at scale.
- You combine vision with execution—you don’t just rebuild what’s been done, you imagine what’s possible.
- You’ve worked across the full stack—from data infrastructure and backend systems to deploying ML models in production.
- You thrive in ambiguous environments and operate with a bias toward bold action and continuous iteration.
Qualifications:
- 8 years of engineering experience, with a strong track record of leading innovation in AI or data-intensive products.
- Hands-on expertise with Python, distributed data systems (e.g., Spark, Kafka, Snowflake, Databricks), and ML frameworks (e.g., PyTorch, TensorFlow).
- Proven experience architecting, deploying, and scaling production-grade systems.
- Demonstrated ability to think creatively, challenge conventions, and lead R&D from 0 to 1.
- Deep understanding of the current AI research landscape and how to translate cutting-edge research into working software.