GenAI engineer: Orchestration & Capability Discovery (26-00248) -

Resource 1 — GenAI Engineer

Focus

Orchestration, Capability Discovery and Reusable Skills

The goal is to build an enterprise GenAI application layer that understands what the user is

asking, captures relevant screen and workflow context, and passes a well-structured request to

existing agents and data services. The engineer will implement routing and agent chaining,

manage reusable tools and skills, and turn returned results into grounded narratives, tables,

charts and consistent response payloads. The structured-data query capability already exists;

this role builds the application logic and contracts around it.

Minimum capabilities

Strong Python or TypeScript backend engineering experience

Production experience with agent orchestration, tool calling, workflow routing and

multi-agent chaining

Strong API and schema design skills, including structured JSON input and output

contracts

Experience combining user intent, conversation history, screen context and filters into

downstream agent requests

Experience transforming agent results into narratives, tables, charts, citations and

consistent application responses

Hands-on experience building and deploying GenAI services with AWS, Amazon

Bedrock and AgentCore

Ability to independently deliver tested, production-ready code with minimal guidance

Preferred

Experience building capability registries, agent and tool catalogs, workflow skills or

discovery services

Experience with MCP and API-first GenAI applications

Experience building analytics applications on top of existing semantic-layer or

data-query agents

Location

Bay Area preferred, with ability to work from the office 1–2 days per week

Otherwise, must provide 4–6 hours of daily working overlap with Pacific Time