AI Engineer

The role

You will work with business and engineering teams to take ideas from research to production. You will build AI-powered features including agents, document intelligence, workflow automation, and knowledge retrieval systems.

What you will do

• Work directly with business and engineering teams to take ideas from research to production
• Understand business needs and client requirements to deliver at the highest level
• Build 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
• Keep up to date with developments in AI
• Help define how AI is applied across Vega's products and internal workflows

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 guar
• 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 (E
• 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

Nice to have

• Examples of previous AI projects

Benefits

• Competitive salary and equity package
• Medical insurance
• Gym membership
• Learning budget

About the company

Vega is transforming the way private markets operate by building an AI-native operating system. It was founded by former investors at Elliott and KKR.