Artificial Intelligence Engineer

🚀 Agentic AI Engineer🚀

✨Series A Fintech Start-Up ✨

💎Equity you WILL realise💎

📍 Manhattan, New York (4 days per week, in-office)

💸 $200k - $300k

🧩 $160k vested over 4 years (annual vesting)

🚨 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, and is now focused on building a small, 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.

If this reads as intimidating and exciting — that’s usually the right signal.