Backend Software Engineer (Applied AI)

Requisitos

• Engineering Experience: Hands-on software engineering, backend systems, or applied AI engineering experience. (4+ YEARS OF EXPERIENCE)
• Core Programming Mastery: Advanced proficiency in Python and/or Java for backend development and algorithm execution
• Applied AI & LLM Systems: Direct, proven experience building AI-powered software or integrating LLMs into enterprise-grade applications
• Agentic Frameworks: Hands-on experience developing autonomous AI agents and multi-step workflows
• MCP Integration Literacy: Practical experience using Model Context Protocol (MCP), custom tool-calling, or JSON-RPC adapters

Desejáveis

• Advanced AI Architectures: Hands-on experience with Retrieval-Augmented Generation (RAG), multi-agent orchestration frameworks, semantic..
• Enterprise Platform Integrations: Background integrating AI solutions with platforms such as Salesforce, Jira, Slack, or internal develop..
• AI Observability & MLOps: Familiarity with cloud-native infrastructure (AWS/GCP/Azure), containerization (Docker/Kubernetes), and AI moni..
• Safety & Lifecycle Management: Experience implementing model guardrails, safety protocols, evaluation suites, and prompt/version control..
• Time Zone & Collaboration