Back to SearchSenior AI Platform Engineer
Remote in Brazil, & 2 others
Python.Core& 16 others
Looking for something else?
Find a vacancy that works for you. Send us your CV to receive a personalized offer.
Find me a job
Choose an option
We are seeking a Senior AI Platform Engineer to build Python SDKs and platform frameworks that enable teams to develop, deploy, and scale agentic and GenAI solutions on Google Cloud. You will shape developer-facing APIs, reliability standards, and production guardrails.
Responsibilities
- Design Python SDKs, ADKs, and platform libraries for agentic and GenAI development
- Build core frameworks, abstractions, and tooling for AI agents, copilots, and GenAI applications
- Define SDK architecture, developer APIs, and integrations with LLMs and enterprise systems
- Develop reusable RAG components, retrieval building blocks, and prompt engineering primitives
- Design retrieval patterns using vector search and graph-native data sources for relationship-aware context
- Create clear documentation, samples, and reference implementations to drive SDK/ADK adoption
- Collaborate with Cloud and DevOps partners to package, distribute, and deploy components on GCP using Terraform
- Establish versioning, testing, benchmarking, and quality gates for SDK releases
- Implement guardrails and safety controls for production LLM and agent traffic
- Improve CI/CD workflows and release automation with Jenkins and Docker
Requirements
- 3+ years of Python experience building libraries, SDKs, or frameworks
- 2+ years of agentic AI experience building and orchestrating AI agents (including 1.5–2 years hands-on)
- Senior-level technical leadership skills to drive architecture decisions and mentor engineers
- Production delivery experience deploying agent-based or AI applications at scale
- Strong GCP Vertex AI experience for model serving and orchestration
- Strong API engineering skills with FastAPI and async-first REST design
- Strong infrastructure automation skills with Terraform, Docker, and Jenkins CI/CD
- Strong Python engineering skills with asyncio, type hints, dataclasses, Pydantic, and pytest
- Strong observability skills with structured logging, distributed tracing, and telemetry tools
- Strong problem-solving skills and API/framework design mindset
- Upper-Intermediate English skills (B2) for daily collaboration and documentation
Nice to have
- Google Agent Development Kit
- Google Cloud Platform
- AI Solution Engineering
- Kubernetes
- MLOps