Forward Deployment Engineer

About Smart Bricks

Smart Bricks is a frontier AI lab building autonomous reasoning systems that allow capital to discover, evaluate, and transact assets end-to-end. We are a small, high-conviction team working at the frontier of applied AI - and we are expanding how our infrastructure integrates with the sophisticated organisations that depend on it. Everything we build is live in production, operating at scale, and compounding in capability over time.

About The Role

As a Forward Deployment Engineer at Smart Bricks, you will own the technical integration of our AI infrastructure into the workflows of sophisticated external organisations. This is a deeply technical role that sits at the most commercially critical point in the business - where our AI capability meets the real world. You will write production code, build integrations, configure agentic workflows for specific operational contexts, and operate at the edge of what our system can do. You will also feed what you discover back into engineering, directly shaping how the product evolves.

What You Will Work On

• Designing and building production-grade integrations between our API layer and external systems - data warehouses, portfolio management platforms, CRMs, and custom internal tools
• Deploying and configuring AI agent workflows for specific operational contexts - translating general-purpose agent capability into precise, auditable, production-ready implementations
• Writing production code, building data pipelines, and debugging complex distributed systems in real-world client environments
• Collaborating closely with our core engineering team - translating what you observe in deployment back into product and infrastructure improvements
• Operating at the technical frontier of what our stack can do - finding the edges of the system, stress-testing assumptions, and expanding what is possible
• Engaging directly with technical counterparts at sophisticated organisations - translating between their infrastructure and ours at depth, without losing technical fidelity in either direction
  
  

We Expect You To

• Have a strong software engineering foundation - production code, API integrations, data pipelines, and cloud infrastructure
• Have experience deploying AI or ML systems in real-world environments - not just building them in controlled settings
• Be comfortable moving between deep technical implementation and high-stakes technical conversations without losing fidelity in either direction
• Demonstrate strong problem-solving instincts in ambiguous, fast-moving situations
• Take ownership of outcomes, not just tasks - you are accountable for integrations working reliably in production
• Communicate technical complexity clearly to both engineering peers and non-technical stakeholders
  
  

Nice To Have

• Experience in solutions engineering, technical implementation, or forward deployment at a high-growth AI or infrastructure company
• Familiarity with agentic AI systems, LLM tooling, or RAG pipelines
• Experience with GraphQL APIs, Apache Kafka, Snowflake, or Kubernetes
• Background in financial services, enterprise software integration, or data-intensive production environments
  
  

Why Smart Bricks

• Solve Hard Problems: Work on AI systems that are live in production - agentic orchestration, real-time inference, cross-market model transfer, and retrieval systems operating at scale on proprietary data that doesn't exist anywhere else.
• Build What's Next: The infrastructure we are building sits at the frontier of applied AI. The models, agents, and reasoning systems you work on here will define how one of the world's largest asset classes operates for decades.
• Ownership and Impact: Small team, no bureaucracy, high trust. Your work ships, your decisions matter, and your fingerprints are on everything we build.
• Learn from the Best: Collaborate with world-class engineers, researchers, and operators who left careers at leading AI labs and financial institutions to build something genuinely new.