Related skills
python gcp ci/cd mlops llm📋 Description
- Design and implement GenAI/agentic AI on GCP (Vertex AI, pipelines, vector search)
- Build AI agents and multi-step workflows with tool calling and orchestration
- Define MCP servers and agent-to-agent protocols for safe automation
- Define solution designs and non-functional requirements (security, reliability, cost)
- Implement security, privacy and governance controls (data protection, secrets)
- Apply DevOps/MLOps practices: CI/CD, IaC, automated testing
🎯 Requirements
- Strong software/data/ML engineering delivering production AI
- GCP Vertex AI: deploy models, pipelines, RAG/vector search
- LLMs/foundation models: tokens, embeddings, context windows, RAG
- Hands-on with agentic workflows or AI agents (tool-augmented)
- Security and safety for AI: prompts, data protection, guardrails
- DevOps/MLOps: CI/CD, IaC, tests, monitoring
- Python API development; microservices knowledge
- Design/evaluate AI features with human-in-the-loop
🎁 Benefits
- Flexible hours and supportive culture
- Birthday off and thoughtful perks
- Access to cutting-edge tech and learning
- Work with global brands across regions
- Inclusive culture and strong networks
- Comprehensive rewards package
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