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The role:
- You'll build the data and reasoning behind Codat's Advisory Intelligence Platform, delivered inside the assistant bankers already use.
- It's hands-on engineering: you build it, run it, and own it end to end.
What you'll work on:
- Building the semantic, signal, and reasoning layers that turn client books into advice.
- Creating the agents and MCP servers, with evals that prove they work.
- Owning pipelines and data models from raw source data to the numbers the assistant quotes.
You'll probably have:
- Built production systems from scratch, writing code yourself in C#, Python, or another backend language.
- Served data to an LLM and seen where it goes wrong, with strong SQL, Spark, Databricks, or similar depth.
- Treated your own workflow as something to engineer, using AI for repetitive parts.
How we work:
- Small team, fast-moving, with no return-to-office mandate and hybrid or fully remote options.
- We ship useful things and improve them, trusting you to deliver and not stay online late.
Codat
Codat is an advisory intelligence solution for modern commercial banking, turning clients' financial data into actionable insights and strategic advantages. Founded in 2017 and backed by JPMorgan, PayPal, Amex, Plaid, and Shopify, it powers over 350,000 connections to business customers' financial systems with a small, fast-moving team.