AI Engineer
On-siteLondon, England, United Kingdom
Job Summary
Work directly with business and engineering teams to take ideas from research to production, building AI-powered features across AltOS including agents, document intelligence, workflow automation, and knowledge retrieval systems. Own problems end-to-end, from scoping and architecture through to shipping and iteration while keeping up to date with developments in AI. Help define how AI is applied across Vega's products and internal workflows. This role requires 4x days per week in-office in London. Candidates must demonstrate strong collaboration skills and proficiency with AWS Bedrock, Anthropic SDKs, Java 21, Node.js, and Kubernetes. Join a team transforming private markets with an AI-native operating system.
Required Qualifications
- Team player with strong communication and collaboration skills
- AI & LLM: AWS Bedrock, Anthropic SDK, Claude Agent SDK, MCP, Bedrock Knowledge Bases, pgvector, Amazon S3 Vectors, Multi-agent orchestration, SSE streaming, promptfoo, Claude Vision, ontology, AI guardrail
- Back-end: Java 21, Node.js + TypeScript (Hono), REST + OpenAPI contract-first codegen, Kafka (MSK) + Avro, Postgres/jOOQ/Flyway + Kysely, JUnit/TestContainers/Mockito + Cucumber & REST Assured, AWS (EKS, RDS/Aurora, Cognito, S3, KMS), Docker, Kubernetes
- Front-end: TypeScript, React, Vite, Tailwind CSS, TanStack, Vitest & Playwright
- Cloud & Infra: AWS (Bedrock, S3, KMS, SQS, CloudFront, Cognito, RDS), Kubernetes, Helm, GitHub Actions, Docker
- Ability and ambition to understand business needs and client requirements to deliver at the highest level
- Ability to understand business needs and client requirements
- Ability to understand business needs
- Ability to understand client requirements
- Ability to deliver at the highest level
- Ambition to understand business needs and client requirements
- Ambition to deliver at the highest level
- Ability to own problems end-to-end
- Ability to scope problems
- Ability to architect problems
- Ability to ship problems
- Ability to iterate
- Ability to keep up to date with developments in AI
- Ability to work directly with business and engineering teams
- Ability to take ideas from research to production
- Ability to build AI-powered features
- Ability to help define how AI is applied across Vega's products and internal workflows
- Ability to create the minimum viable process
- Ability to operate with quality at speed
- Ability to make decisions amid ambiguity
- Ability to make decisions with imperfect information
- Ability to balance committing to a hypothesis
- Ability to iterate at low ego
- Ability to voice opinions
- Ability to take initiative
- Ability to find solutions to problems
- Ability to assess and reward people on impact
- Ability to contribute to Vega's success
- Ability to work outside a 9-5 schedule
- 4x days per week in-office
- London location
Desired Qualifications
- Examples of previous AI projects
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