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Senior AI Platform Engineer
HíbridoTiempo completoAI EngineeringEnterprise Software
Join an AI Foundations team building generative AI products, agent infrastructure, and shared platform components. Own systems from architecture and development through reliable production operation, and provide technical guidance to other developers.
Responsabilidades
- Develop generative AI products and improve their user experience.
- Build and extend infrastructure for AI agents using agent frameworks and related technologies.
- Develop and expand an MCP Gateway connecting agents with internal and external tools.
- Design and implement security, permissions, and access controls for agents and sensitive data.
- Develop and manage identity components, authentication, authorization, and identity governance.
- Build APIs, SDKs, and internal platforms for use by multiple development teams.
- Own system components from design through production operations, reliability, and maintenance.
- Lead technical initiatives, make architecture decisions, and mentor developers.
- Use AI-assisted engineering tools as part of an AI-first development environment.
Requisitos
- At least 6 years of backend or full-stack development experience, including ownership of large-scale, cloud-based production systems.
- Hands-on experience with LLMs and AI agents, including agent frameworks, tool calling, prompt and context engineering, model evaluation, and LLM observability.
- Experience designing complex systems, APIs, SDKs, and platforms used by multiple teams, while maintaining backward compatibility.
- Experience with cloud-native infrastructure, including AWS, Kubernetes, Docker, and CI/CD.
- Knowledge of authentication and information security, including OAuth2/OIDC, JWT, service-to-service authentication, least-privilege access, and sensitive credential management.
- Ability to lead complex work end to end, from problem definition through stable production operation.
- Strong communication and collaboration, technical leadership, and experience mentoring developers.
- Daily, substantial use of AI-assisted development tools.
Se valora
- Experience building MCP servers or gateways, including OAuth and tool permissions.
- Familiarity with OPA/Rego, SCIM, RBAC/ABAC, policy systems, entitlements, or identity platforms.
- Experience securing AI agents through sandboxing, delegated permissions, human approvals, and audit trails.
- Experience with Snowflake, data access governance tools, Kafka, or CDC.
- Experience building internal platforms and SDKs with versioning, distribution, and compatibility for multiple consumers.