Senior AI Engineer

Job Title: AI Engineer - Core Platform Industry: FinTech Contract Duration: 6 months (rolling) Location: New York, NY (Hybrid) Hourly Rate: $65 to $95 per hour

The Role:

* You'll be building the AI infrastructure that others build on, designing and shipping scalable agent frameworks and multi-agent systems that power intelligent automation across a regulated fintech environment.

* Working alongside platform engineers, architects, and product teams, you'll create the reusable SDKs and APIs that let engineering and business teams move fast without sacrificing reliability.

* LLM integration will be a core part of your day to day, covering orchestration, routing, structured output, and standardising protocols like MCP and A2A across the platform.

* You'll take ownership of observability and tracing for agent workflows, making sure there's full visibility into how AI systems are behaving in production.

* Safety guardrails are not an afterthought here, you'll be embedding moderation, PII filtering, and cost controls directly into the platform from the ground up.

* You'll contribute to architectural strategy and evaluate systems for production readiness, bringing a strong opinion on scalability and operational tradeoffs.

* Documentation is part of the craft in this role, you'll produce clear, well-structured guidance on system architecture, SDK usage, and engineering standards.

* Collaboration is key, you'll partner closely with cross-functional teams to define best practices and raise the bar on how AI is built and deployed across the organisation.

* Solid Python engineering skills with hands-on experience building production AI and agentic systems, TypeScript or Java exposure is a bonus.

* Practical experience with agent orchestration frameworks, particularly AWS Strands SDK, and a strong grasp of multi-agent system design including async Python patterns.

* Proven ability to integrate LLMs into real products, including prompt engineering, structured output design, and context management.

* A platform engineering mindset, you know how to build developer-friendly SDKs and APIs that others actually enjoy using.

* Experience implementing observability and tracing for AI systems, with tooling such as OpenTelemetry or Langfuse being a plus.

* Familiarity with AI safety concepts including guardrails, moderation, and cost controls in a production setting.

* Strong written and verbal communication skills, with an ownership mentality and a focus on code quality and maintainability.

* Exposure to fintech or other regulated industries is advantageous but not essential.

Research indicates that men will apply to a role when they meet only 50 to 60% of the requirements, while women and other underrepresented groups often look for a 90 to 100% match. If this role excites you but you don't tick every single box, please still apply. We'd love to hear from you.

* ##### Cheryl Tyas

* Cheryl

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Ready to work with us?

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