Top Tech Jobs & Startup Jobs

Lead design and delivery of enterprise generative and agentic AI systems on AWS. Architect Bedrock-based RAG and multi-agent platforms, prototype in Python, ensure security, observability, IaC, and guide clients from discovery to production.

Responsible for client P&L, building C-suite relationships, winning high-value deals, and ensuring client success while mentoring others.

Provide L2 IT support for remote macOS and Windows users across Latin America and North America: manage tickets, administer Microsoft 365/Entra ID, handle device enrollment via MDM, troubleshoot SSO/MFA and SaaS platforms, document resolutions, and escalate complex issues to senior sysadmin.

Lead design and delivery of complex full-stack, AI-integrated platforms. Define front-end architecture, own backend and API design, optimize databases, ensure scalability, reliability, and security, mentor engineers, and integrate LLMs and RAG-style AI services into production systems.

As a Senior Fullstack Engineer, you will develop and maintain applications, integrating backend services and APIs, and ensure system reliability and performance.

Develop and maintain backend services using Node.js and support fullstack applications, collaborating on system reliability and optimization in a cross-functional team.

Lead end-to-end GenAI and agentic AI product initiatives for enterprise clients: define strategy and roadmap, run discovery and experiments, prototype and productionize agents, establish evaluation metrics and guardrails, manage deliveries, and partner with stakeholders and AWS to ensure scalable, secure deployments.

As a Staff AI Engineer, you will develop backend services, integrate APIs, and optimize existing systems within a complex AI platform environment, collaborating with cross-functional teams and ensuring high reliability and performance.

The Staff AI Engineer will develop and maintain backend services, support workflows, optimize performance, troubleshoot production issues, and collaborate on feature development.

The Staff AI Engineer will develop backend services, integrate APIs, optimize performance, and ensure system reliability in cloud-native environments.