Artificial Intelligence Engineer

Job Description

Are you an Applied AI Engineer looking to build cutting-edge agentic AI systems at a high-growth, AI-native fintech startup with serious funding?

Join an innovative, AI-native Series B FinTech company that has just secured $120M in funding . You'll be building sophisticated agentic workflows and multi-agent systems, taking ownership of AI solutions end-to-end and helping shape the future of financial technology.

This is an exciting opportunity to work at the forefront of Applied AI, solve complex engineering challenges, and build intelligent systems that are fundamental to the company's products and operations.

What you will be doing:

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• Design, build, and deploy end-to-end agentic AI workflows and multi-agent orchestration systems.
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• Develop autonomous AI agents capable of reasoning, tool calling, and solving complex tasks.
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• Integrate LLMs into scalable, production-grade applications.
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• Own the full AI lifecycle, from prototyping through to deployment, monitoring, and optimisation.
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• Implement evaluation frameworks, observability, and guardrails to ensure reliable AI systems.
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• Collaborate with product and engineering teams to develop AI-native financial solutions.
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• Influence technical architecture and help shape the company's AI engineering strategy.
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Requirements:

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• Strong experience in AI Engineering, Applied AI, or Machine Learning Engineering.
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• Excellent Python skills and experience building production-grade AI applications.
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• Hands-on experience developing LLM-powered applications and agentic workflows.
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• Experience with multi-agent architectures, orchestration, and tool-calling systems.
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• Experience taking AI solutions from prototype through to production.
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• Understanding of API development, scalable systems, and AI evaluation.
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• Ability to thrive in a fast-paced, high-growth startup environment.
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It’s a Bonus If You Have:

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• Experience with LangGraph, LangChain, PydanticAI, CrewAI, or similar frameworks.
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• Knowledge of RAG, vector databases, and advanced retrieval techniques.
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• Experience with LLM observability, evaluation, and guardrails.
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• Cloud deployment experience with AWS or similar platforms.
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• Previous fintech or Seed–Series D startup experience.
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The Benefits:

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• Competitive Salary: Up to $350k base, DOE.
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• Bonus & Equity: Additional performance bonus and equity package.
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• Hybrid Working: New York City.
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• Major Funding: Join a Series B AI-native fintech backed by $120M in recent funding.
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• Cutting-Edge Technology: Build advanced agentic workflows and multi-agent systems at the core of an AI-native business.
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• End-to-End Ownership: Take AI products from concept to production.
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• Career Progression: Help shape the technical direction of a rapidly scaling business.
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Apply now to be part of an ambitious team shaping the future of AI-driven financial technology!