Senior AI Engineer (AI Engineering)
Core
Build and maintain AI tooling and integrations to accelerate developer productivity and enable internal teams to create AI-powered workflows.
Role type
Senior AI Engineer (Developer Experience & AI Platform)
Builds
AI connectors, knowledge base pipelines, MCP integrations, and internal automation platforms for engineering teams.
Domain
Fintech / AI Engineering / Developer Productivity
Deliverable
production ML models | product features | infrastructure
Required skills
TypeScript, Next.js/React, Kubernetes, LLMs, embeddings, API integrations, MCP (Model Context Protocol), containerized software deployment
Preferred skills
AWS Bedrock, Datadog, SLOs, DORA metrics
Technologies
AWS Bedrock, n8n, Snowflake, GitHub, Jira, Slack, Google Workspace, Next.js, React, Kubernetes
Responsibilities
Create connectors and integrations for company data (Google Workspace, Slack, Jira, GitHub, Snowflake, Confluence); Build and maintain knowledge base pipelines, MCP integrations, and API connections; Support internal teams in creating AI-powered data sources and automated workflows; Build templates, guardrails, and building blocks for non-engineers; Identify high-leverage opportunities with PMs and engineering leads; Ship quickly and measure outcomes (time saved, errors reduced, adoption).
Seniority
Senior, hands-on IC
