Back to SearchAI Engineer Manager (Python)
Remote in Brazil, & 2 others
Python.AI& 22 others
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We are looking for an AI Engineering Manager to architect and deliver a greenfield multi-agent AI platform focused on proactive FinOps outcomes in a multi-cloud environment. You will guide agent orchestration, governance, security controls, and service integrations while mentoring engineers.
Responsibilities
- Design the end-to-end architecture for a multi-agent AI platform with specialized agents and clear execution boundaries
- Lead the implementation of agent orchestration, inter-agent dependencies, tool definitions, and agent-to-service communication
- Enforce centralized LLM routing and governance with cost controls, monitoring, and operating limits
- Define compliance guardrails with segregation-of-duties workflows and auditable approval paths for financial-adjacent actions
- Architect the action-routing layer for direct API execution, event-driven workflows, and ticket-based fallbacks
- Establish coding, testing, formatting, and API/schema standards and drive rigorous code reviews
- Implement Zero Trust security controls, identity and access patterns, and immutable audit logging across services
- Guide prompt and tool lifecycle practices to improve reliability, structured outputs, and safe execution
- Coordinate integration with platform services and backend APIs to ensure scalable enterprise adoption
- Mentor engineers through technical design, reviews, and delivery planning
- Validate error handling and contract compliance using standard specifications for APIs and MCP interactions
Requirements
- 8+ years of software engineering experience and 3+ years in technical leadership for LLM or agent-based platforms
- Proven leadership skills to mentor engineers and drive code reviews and engineering standards
- Hands-on project experience delivering greenfield, enterprise-grade AI services in cloud environments
- Advanced Python 3.11+ skills with FastAPI and agent/service integration patterns
- Strong solution architecture skills for multi-agent orchestration and service-to-agent communication
- Solid AI solution engineering skills including prompt lifecycle, tool definitions, and structured outputs
- Google Cloud Platform experience including Vertex AI and secure identity patterns for workloads
- FastMCP experience building agent toolchains and MCP-based integrations
- Strong security and governance knowledge including Zero Trust, RBAC, and immutable audit logging
- Clear communication skills to align technical decisions across engineering and stakeholder groups
- Upper-Intermediate English proficiency (B2)
- Ability to coach and influence teams beyond hands-on implementation
Nice to have
- Docker
- Google Kubernetes Engine
- Google Cloud BigQuery
- LangChain
- Technical Leadership