Founding Engineer

Tarka Talent
Charing Cross, United Kingdom
3 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Charing Cross, United Kingdom

Tech stack

JavaScript
Microsoft Windows
Artificial Intelligence
Azure
Databases
Data Integration
Relational Databases
Github
JSON
Microsoft SQL Server
MongoDB
Node.js
Redis
Power BI
Next.js
SharePoint
Zoho Office Suite
AI Infrastructure
Large Language Models
Prompt Engineering
Zapier
Indexer
Backend
Data Layers
Microsoft Fabric
Semi-structured Data
Machine Learning Operations
Front End Software Development
Xero (Accounting Software)
REST
GPT

Job description

They're looking for a Founding Engineer..... someone who will own the full technical direction of the platform and grow with the Firm on this unique and exciting journey.

The platform is real: a 25+ entity relational data model, multi-LLM orchestration across Claude, Gemini, and GPT, deep Microsoft 365 integration, and a commercial intelligence layer built on Microsoft Fabric and Power BI.

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End-to-end architecture: frontend, backend, data layer, AI infrastructure

Evolution toward a scalable, modular, multi-tenant platform

RAG pipelines, document indexing, LLM orchestration at scale

Data integrations: SharePoint, Fireflies, Zapier, Xero and Zoho

Team growth and engineering practice maturity

AI strategy conversations directly with senior partners and clients.

: Next.js Node.js / Express Azure MS SQL MongoDB LlamaIndex BullMQ Redis Microsoft Fabric Power BI GitHub Actions

Requirements

A senior or staff engineer ready for full ownership. You've shipped production systems, you think clearly about architecture, and you can hold a room with non-technical stakeholders. We'll also consider a PhD, with the right type of exposure, knowledge, and approach. Financial services experience is also a genuine advantage - but not a requirement. Equity participation is also part of the package for the right candidate., * Strong academic background - a rigorous foundation matters here

  • At least 2 years working with AI or ML systems in production and 3-5 years of substantive software / platform engineering
  • Deep JavaScript / Node.js skills
  • Azure Fluency
  • JSON data structures, REST API design, and complex semi-structured data
  • Practical LLM application - RAG architectures, prompt engineering etc
  • Comfort with both relational (MS SQL) and document (MongoDB) databases

This is a founding role in every sense. If this sounds like you, or someone you know..... Happy to share more details confidentially.

About the company

My client is a tech-enabled advisory business serving insurance, wealth management, and broader financial services. They combine deep industry partners, a high-calibre consulting network, and a proprietary AI platform that's already live and in production.

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