Artificial Intelligence Engineer

🚀 Agentic AI Engineer🚀

✨Series A Fintech Start-Up ✨

💎Equity you WILL realise💎

📍 Manhattan, New York

💸 $200k - $300k depending on level

🧩 $160k equity vested over 4 years

🚨 This is a career-defining role 🚨

This role sits inside one of the fastest-growing Series A Fintech start-ups, building production-grade agentic systems for complex, high-stakes enterprise workflows. The business has scaled at exceptional speed, closed a record-breaking Series A at the end of last year, and is now focused on building an elite engineering team to own the core AI infrastructure end-to-end.

💪 The Environment

• Exceptional, high-performing teams
• Engineers work directly with founders daily
• No layers, no slow approvals, no hand-offs

The intensity is deliberate. The aim is compression:

• Faster learning curves
• Faster iteration cycles
• Faster ownership and decision-making

🧩 What You’ll Actually Be Building

You will own and drive large portions of the AI agent infrastructure, from design through to production deployment.

• Designing and deploying multi-agent systems
• Building and integrating RAG pipelines
• Creating evaluation frameworks (evals) to measure accuracy, reliability, and safety
• Shipping AI-powered features used by real enterprise customers
• Building backend services and APIs (Python, Django / FastAPI preferred)
• Working across the stack — APIs, databases, infrastructure, and deployment pipelines
• Ensuring systems are scalable, performant, and secure in production

🧠 Who This Is For

You’ll likely have:

• Foundational software engineering experience
• Hands-on experience designing and deploying AI systems into production, end-to-end
• Strong backend engineering skills (Python)
• Experience with relational databases, Redis, task queues, and background workers
• Familiarity with Docker, Kubernetes, and modern cloud infrastructure
• Experience with RAG, agent orchestration, and LLM evaluation techniques
• A high tolerance for ambiguity and shifting priorities

🏆 Why Exceptional People Say Yes

Top engineers don’t optimise for comfort — they optimise for trajectory.

• Talent density permanently raises their bar
• Founder access is direct and unfiltered
• One year of learning feels like several elsewhere
• The experience compounds long after they leave

Then this is one of the most compelling Applied AI Engineering opportunities globally right now.

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