Staff AI/Data Engineer
Superads is building AI agents that help marketers make better creative decisions — not by surfacing more data, but by actually reasoning through strategy on their behalf. The harder problem underneath that ambition is one we haven't fully solved yet: how do you build a system that understands a brand deeply enough that an AI can make meaningful decisions on its behalf?
That's the problem you'll be working on.
Not in the sense of parsing brand documents and calling it done. In the sense of figuring out how to represent what a brand actually is — its identity, its audience, its creative principles, the judgment calls that a senior strategist who'd worked with them for years would make instinctively — in a way that an AI system can reason over reliably. It's a harder and more interesting problem than most companies are working on in this space, and we don't think it has a clean solution yet.
What You'll Do
- Build the knowledge layer that sits underneath Superads' AI agents — the systems that give them genuine understanding of a brand rather than just access to its documents.
- Design how brand knowledge is represented, stored, and continuously updated: the structures that let an agent reason about a brand the way a senior strategist would, not just retrieve what's been written down.
- Develop agentic search capabilities — systems that let agents reason about what they don't know, identify knowledge gaps, and navigate information dynamically rather than relying on fixed retrieval pipelines.
- Evaluate and iterate on architectures for knowledge retrieval and reasoning, identifying where current approaches break down and driving more interesting solutions.
- Translate emerging AI research and patterns into production-ready systems that measurably improve output quality and reliability.
- Work closely with the product and AI engineering teams to ensure the knowledge layer directly improves what users experience — staying connected to product impact even when the work takes you deep into infrastructure.
What You'll Need to Succeed
8+ years in high-performance engineering environments — ideally at companies pushing the frontier of enterprise AI, legal AI, or knowledge-intensive agent systems. Proven experience building agentic workflows and RAG systems in production, with a focus on making AI output trustworthy and reliable — not just functional. Deep understanding of how language models represent and use knowledge, well beyond prompt engineering or standard retrieval patterns. You've thought seriously about memory architectures, reasoning under uncertainty, and dynamic retrieval. Experience with LangChain or LangGraph (or equivalent) for building multi-agent systems; strong Python skills, ideally with FastAPI. Hands-on experience with a major cloud data platform — Snowflake, BigQuery, or Databricks — and comfort designing architectures that handle large data volumes reliably. Strong opinions about where current AI approaches break down, formed through real production experience rather than theory. Genuine curiosity about the brand intelligence problem — what it means to encode creative judgment, how you represent things that were never written down, how you know when a model's understanding is actually right. You don't need a marketing background, but you should find these questions interesting. You take ownership of outcomes, communicate clearly when something isn't working, and follow the problem rather than your specialisation.
Why join us
Superside's vision is to create more equal opportunities globally by accelerating the world’s transition to online work. With that in mind, we’ve built a natively remote company enabling us to attract the best talent no matter where they are.
Global Talent, Remote by Design
Join a global community spanning 60+ countries, where remote work isn’t just a perk, it’s how we deliver our best. At Superside, being remote means fully committing to our customers and collaborating seamlessly across time zones.
High Performance, Low Ego
Experience a fast-paced, high-energy environment with truth-seeking teammates. We foster trust, collaboration, and continuous learning to grow individually and together.
Impact Meets Opportunity
Join at the perfect moment: influence our product like a startup while enjoying the stability of a thriving scale-up. Your ideas are welcome—improve, innovate, and lead with us.
Growth, Mentorship, and Leadership
Advance your career through growing responsibility and mentorship. We're here to support your leadership journey while disrupting a global industry with massive potential.
Our commitment to your career
We give you the necessary tools and resources to take control of your development and unlock your full potential.
With continuous learning opportunities, constant mentoring and leadership development efforts, we strive to build high-performing teams that can grow alongside our company.
