Senior Software Engineer – AI, Data

Job not on LinkedIn

🔥 24 minutes ago

🇬🇧 United Kingdom – Remote

💵 £90k - £110k / year

⏰ Full Time

🟠 Senior

🤖 AI Engineer

🇬🇧 UK Skilled Worker Visa Sponsor

This company has sponsored UK Skilled Worker visas in the past.

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Codat

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2017

💼 Consulting

📦 Logistics

🔌 API

Consulting • Logistics • API

Codat is a B2B financial data connectivity and insights platform that provides APIs to aggregate accounting, ERP, and payments data from small and mid-market businesses. Financial institutions, banks, lenders, and fintechs use Codat to automate accounting workflows, gain actionable spend insights, and streamline credit decisions through seamless data sharing and AI-driven analytics. Codat connects hundreds of thousands of businesses and offers tailored data products for use cases like commercial card issuing, accounting automation, and business lending.

📋 Description

• Build the data and reasoning systems for Codat's Advisory Intelligence Platform • Develop the semantic layer of measures, dimensions, and definitions used by the AI assistant • Design and build the signal layer that detects changes for clients • Build the reasoning layer, including calculations and structures used by Codat's LLM • Develop agents and MCP servers, including tools, failure handling, and evaluations • Build pipelines, services, and data models from raw source data to assistant responses • Implement testing and observability to verify data correctness • Create evaluations to detect when the model quotes incorrect data • Own systems from development through production operation • Collaborate with engineering, product, and commercial teams to influence product direction

🎯 Requirements

• Production systems built from scratch, writing code rather than configuring managed services • Experience designing interfaces, failure modes, and maintainable code • Experience serving data to an LLM and understanding issues such as ambiguous definitions, poor retrieval, and lack of evaluations • Experience working with data pipelines, data shaping, and data-serving systems • Solid C#, Python, or another backend language • Depth in at least one of SQL, Spark, Databricks/Delta Lake, Dagster/Airflow/Temporal, or dbt • Experience with CI/CD, Docker, cloud infrastructure, and observability • Azure cloud experience • Interest in the business context behind data and ability to build guardrails • Experience engineering one's own workflow with AI automation

🏖️ Benefits

• Equity • No return-to-office mandate • Hybrid or fully remote work options • Flexible working arrangement • Trust and autonomy in how and where work is performed