AI/ML Agent Engineer — Front-End Focus
Tasks
- Build frontend features with AngularJS and ReactJS
- Create reusable UI components and SDKs for agent invocation
- Design agentic workflows with LLMs
- Develop prompt engineering patterns with context and memory
- Document architecture and developer guides
- Implement tool orchestration with schemas and function calling
- Implement unit and end to end tests for agent runs and UI flows
- Integrate agents with GitHub workflows and APIs
- Integrate agents with MCP clients and servers
- Set up CI CD and observability for agent and UI pipelines
Perks/Benefits
- N/A
Skills/Tech-stack
Accessibility | AngularJS | CI/CD | Claude | Cypress | Datadog | Embeddings | End to End | End-to-End Testing | Function Calling | GitHub API | GitHub Actions | GraphQL | JavaScript | Jest | LLM | MCP | Model Context Protocol | Node.js | OpenAI API | OpenTelemetry | Prompt engineering | Python | RAG | REST | ReactJS | Tool Schemas | TypeScript | Unit Testing | Vector Databases
Education
N/A
Roles
AI | AI/ML Engineer | Agent Engineer | Engineer | Junior AI ML Agent Engineer | ML Engineer
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