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GenAI engineer: Orchestration & Capability Discovery
MindSource
Location not stated
Hybrid
1 month ago
- Machine Learning
- Python
- TypeScript
- JSON
- AWS
- Bedrock
- MCP
1 month ago
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
GenAI engineer: Orchestration & Capability Discovery · MindSource