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AI/Agent Engineer at Vega
Job in
Greater London, London, Greater London, W1B, England, UK
Listed on 2026-07-15
Listing for:
Jack & Jill
Full Time
position Listed on 2026-07-15
Job specializations:
-
Software Development
AI Engineer (Applied/Software), Backend Developer, Full Stack Developer, Cloud Engineer - Software
Job Description & How to Apply Below
Job Title
AI/Agent Engineer
SalaryNot Disclosed
Company DescriptionVega is a $28M London-based fintech building AltOS, an AI-powered client and distribution operating system for the $20T alternative asset management industry.
Job DescriptionAs Vega's first dedicated AI hire, you will design and ship foundational features across document intelligence, agent orchestration, and workflow automation. Working directly with leadership, you'll move prototypes to production for a high-growth sector. This role offers high autonomy to define the company’s AI practice while building on a modern Java and AWS stack.
LocationLondon, UK
Why this role is remarkable- Join as the first dedicated AI hire, gaining foundational ownership over how AI and agentic workflows are integrated across the entire AltOS platform.
- Backed by $28M from industry giants like Apollo and Motive Ventures, you'll disrupt an industry managing $20T in assets that is desperate for technological transformation.
- Work alongside a high-pedigree founding team from KKR, Blackstone, and Goldman Sachs, combining deep domain expertise with top engineering talent from Revolut.
- Design and build production-ready AI features including multi-agent orchestration, RAG pipelines with AWS Bedrock, and sophisticated document intelligence tools.
- Collaborate directly with product and senior leadership to rapidly prototype new concepts and iterate them into core platform features.
- Define the technical standards for AI engineering at Vega, taking full responsibility for the architecture, scoping, and shipping of agentic systems.
- Proven track record of shipping LLM-powered tools or agent pipelines, demonstrating a first-principles approach to solving complex engineering problems.
- Deep technical proficiency with AI/LLM technologies such as AWS Bedrock, Anthropic SDK, and building RAG systems within production environments.
- Strong background in backend development (Java 21/Spring Boot) or full-stack engineering, with a restless drive to build and iterate quickly in an early-stage startup.
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