Descrizione del lavoro:
Design, develop, troubleshoot and debug software programs for databases
Oracle AI Database Private Agent Factory is a no-code platform to build, test, and deploy intelligent agents with enterprise-grade security, governance, and performance. It connects to enterprise data and tools, supports multiple model providers, and ships with pre-built Knowledge and Data Analysis Agents, reusable templates, and evaluation gates. Agent Builder's visual orchestration enables rapid composition of agents, tools, and data sources with role-based access and prompt guardrails. Interoperability is provided through Agent Spec import/export and compatibility with frameworks like LangGraph, AutoGen, and CrewAI.
This project focuses on designing, implementing, and validating multi-agent workflows that perform day-to-day program and product management tasks end-to-end. Interns will build "ready-to-wire" templates such as those performing PRD drafting, requirement triage, roadmap synthesis, estimation/capacity planning, RICE prioritization, and dependency/timeline risk advising.
Deliverables: multi-agent templates, improved orchestration nodes, secure tool integrations, automated tests, demos, and documentation.
Career Level - IC3
Requisiti del candidato:
As a member of the software engineering division, you will assist in defining and developing software for tasks associated with the developing, debugging or designing of software applications or operating systems. Provide technical leadership to other software developers. Specify, design and implement modest changes to existing software architecture to meet changing needs.
Create Agent Marketplace within Agent Factory
Description : Create a variety of pre-loaded Agent Templates that Agent Factory customers can use out of the box, segregated into various business domains
skills :
Dev/runtime: Linux and macOS, Docker/Podman, Kubernetes/OKE.
Frontend/Backend: TypeScript/React UI, Python, Shell/Bash scripting
Data/Grounding: Oracle Database with AI Vector Search, OCI Object Storage, file systems
AI: LLMs, RAG Architectures, Agentic Workflows, NLP, Semantic Search, Prompt Engineering
| Provenienza: | Web dell'azienda |
| Pubblicato il: | 18 Feb 2026 (verificato il 20 Feb 2026) |
| Tipo di impiego: | Lavoro |
| Lingue: | Inglese |