We are seeking talented Generative AI Engineers to join our team and build AI solutions that transform how our clients leverage artificial intelligence. In this role, you'll work at the intersection of software engineering and AI, designing and implementing sophisticated generative AI systems that go beyond simple API integrations. You'll be responsible for architecting scalable AI applications using cutting-edge platforms (such as AWS Bedrock, Gemini, OpenAI SDK, among others), building RAG (Retrieval-Augmented Generation) pipelines, implementing agentic architectures, and creating intelligent solutions that drive real business value.

As a Generative AI Engineer, you'll collaborate with cross-functional teams including product managers, data scientists, solution architects, and other engineers to translate complex business requirements into production-ready AI systems. Your work will directly impact product capabilities, user experience, and our clients' ability to innovate with AI technology.

- Dual-Stream Delivery Model: Split your time between Active AI User Support & Structured Troubleshooting (Stream 1) and Proactive Development & Knowledge Engineering during idle-time capacity (Stream 2).
- PDCA-Driven Incident Management: Perform severity-based triage, structured root cause analysis (RCA), and document detailed case management logs and technical reports.
- AI Agent and Tooling Development: Create internal tools, automation scripts to streamline troubleshooting workflows, and implement custom agents within the Claude AI platform.
- Knowledge Engineering and Curation: Create, review, and publish technical articles, best practices manuals, and standardized resolution playbooks.
- Performance Indicator Tracking: Monitor and report crucial operational metrics such as Average Handling Time (AHT), First Response Time (FRT), First Time Resolution (FTR) rate, SLA compliance, and AI agent adoption rates.
- Operational Cadence and Ceremonies: Integrate into the client's operational framework, actively participating in Daily Stand-ups, Weekly Service Reviews, and Monthly Governance meetings.

-Solid experience with development, prompt engineering, and integrating solutions based on LLMs (especially Claude AI).
-Strong proficiency in backend software development/automation using Python and Node.js to build custom AI agents, scripts, and internal workflow optimization tools.
-Hands-on infrastructure and cloud experience, with solid knowledge of AWS and container management/orchestration using Kubernetes.
-Proven knowledge of modern connectivity and messaging platforms / MCP (Model Context Protocol).
-Proficiency in structured problem-solving methodologies (e.g., PDCA, RCA - Root Cause Analysis) applied to technical environments.
-Practical experience with ticketing systems, documentation tools/Wikis, and corporate collaboration platforms.
-Ability to extract and analyze operational data to build technical and management performance Dashboards (SLA, AHT, FTR).
-Advanced English: Essential for daily communication with international stakeholders, AI program leaders, and client users.