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# AI & data lead

- **Company:** Spiko
- **Location:** Paris, France (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, BigQuery, Data Infrastructure, PostgreSQL, Operational Databases, Software Engineering, TypeScript, Datadog, Google Cloud, Tailwind, ReactJS, Large Language Models, Multi-Agent Systems, Kubernetes, Web3.js, Functional Programming, Terraform, Docker
- **Published:** September 11, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=a871d222031bfef7

## About the Role

* You're a software or AI engineer with 5+ years of experience
 * You're comfortable as an individual contributor as well as managing stakeholders both inside and outside the tech team
 * You are very comfortable with cloud data infrastructure
 * You have hands-on experience building with LLMs (agents, RAG, tool use, evaluation) and shipping AI features to production, not just prototypes
 * You can operate autonomously with non-technical stakeholders: understanding a business team's workflow, scoping the right automation, and delivering it
 * You are comfortable working in an English-speaking environment
 * You are curious and eager to learn, with a problem-solving mindset

Nice to have:

 * You have experience taking ownership of a technical domain across a company (platform, data, or AI enablement roles)
 * You have worked with functional programming patterns (we use Effect heavily)
 * You have built and shipped an MCP server, or agent-facing APIs
 * You have experience in capital markets, fintech or Web3
 * You have worked on tech projects in highly regulated environments (e.g. fintech, regtech, healthtech, edtech, etc.)

## Description

* Embed AI into Spiko's product, to give the CFOs who use Spiko the smoothest cash management experience there is. For example: letting users automate their deposits and withdrawals, run operations in Spiko straight from a prompt, or point their own AI agents at a Spiko MCP server to query positions and perform deposits and withdrawals programmatically.
 * Empower every team to use AI in their day-to-day work, including legal, sales, marketing and ops. For instance, give our customer support AI-assisted drafting and answering.
 * Keep us at the state of the art in AI-assisted software engineering, owning the tooling, practices and infrastructure that make AI a force multiplier for the whole tech team.
 * Own our data platform, evolving and maintaining the analytics infrastructure (BigQuery, Datastream, Metabase, etc.) that makes production data accessible to non-technical teams, and supporting the data initiatives built on top of it.

Our stack

 * Languages and frameworks: Typescript, NX, Effect, React, Tailwind
 * Data & AI: BigQuery, Datastream, Metabase, LLM APIs and agent frameworks
 * Infrastructure: Terraform, AWS, GCP, Kubernetes, Docker, PostgreSQL
 * External services: Ory, Datadog

What's already in place?

Claude is deployed company-wide and all teams use it daily. A handful already run automated recurring workflows in production. Our product data has been queryable in plain language with Claude for almost a year, which means non-technical teams answer their own questions. You'll find a working base that needs an owner to take it to the next level.