AI/ML Agent Engineer — Back-End Focus
Tasks
- Add observability with logs metrics traces
- Assemble context using RAG and embeddings
- Automate build deploy and documentation
- Build APIs and event driven pipelines for agent requests
- Collaborate on design and code reviews
- Create reliability dashboards
- Develop Spring Boot microservices for LLM powered agents
- Implement tool execution and function calling
- Integrate Claude endpoints
- Integrate GitHub webhooks and automations
- Manage configuration secrets and access control
- Write unit and integration tests
Perks/Benefits
- N/A
Skills/Tech-stack
Amazon SQS | CI/CD | Datadog | Embeddings | Event Driven | Event-driven architecture | Function Calling | GraphQL | Injection Defense | Input validation | Integration Testing | JVM | Java | Kafka | LLM | MCP | OpenAI API | OpenAI specifications | OpenTelemetry | Prompt injection | Prompt injection defense | RAG | REST API | Secret management | Spring Boot | Testing | Unit Testing | Vector Store
Education
N/A
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