Are you passionate about Generative AI and Cloud Architecture? We’re looking for a hybrid professional who can turn a blueprint into a fully functional Google Cloud Platform (GCP) solution in under 4 weeks.
What You’ll Do- Architecture & Design: Build scalable solutions using Vertex AI, BigQuery, and serverless services for millions of requests.
- AI Agent Development: Implement RAG systems with embeddings, vector stores, and Gemini, integrating structured and unstructured data.
- Document Processing: Design pipelines with Document AI and fine-tuned LLMs to extract and analyze complex documents.
- Cost Optimization: Achieve latency <100ms and cost <$0.001/request using Cloud Run, GPUs, and optimized functions.
- Enterprise Integration: Connect APIs (CRM, ERP) via Apigee, Pub/Sub, and Dataflow for event-driven architectures.
Generative AI & MLOps:
- Hands-on with Vertex AI (Fine-tuning, Prompt Management, Model Registry).
- RAG implementation, embeddings, and relevance evaluation (recall@k >85%).
- Advanced Gemini API usage and cost optimization.
- LLM evaluation frameworks (RAGAS, LangSmith).
Data Engineering at Scale:
- BigQuery ML, Dataflow (Apache Beam), Pub/Sub with 99.9% SLA.
Cloud Native Architecture:
- GKE, Cloud Run, Apigee with advanced security and scalability practices.
Specialized AI:
- Document AI, Vision AI, Speech-to-Text with adapted models.
- 3+ Generative AI solutions in production (>1000 active users, <5% error rate).
- At least 2 projects such as:
- Enterprise chatbot integrated with 3+ systems.
- Legal/financial document processing pipeline (>95% accuracy).
- Real-time recommendation engine (>10M events/day).
- Fine-tuning with LoRA/QLoRA.
- Safety & Guardrails (Llama Guard, Content Moderation API).
- Federated Learning and multimodal generation (Imagen 3, Veo, Chirp).
- Business Translator: Turn “I want a chatbot” into clear technical requirements.
- Velocity: Prototype in 3 days, MVP in 2 weeks, production in 4 weeks.
- Documentation: Communicate trade-offs (latency vs cost, accuracy vs speed).
- Security: Knowledge of GDPR, PII detection, and model governance.
Ready for the challenge? If you meet the requirements and want to lead cutting-edge Generative AI projects at scale, apply now!
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What We Do
Rules Cube is a consulting firm specializing in digital transformation and strategic management. Our vision is to use our Pega expertise to help our clients with digital transformation initiatives and lead efforts to bridge the gap between business and technology. Headquartered in Toronto, with now an office in Peru - we have multiple Pega certified architects at all levels (LSA; SSA; SA) with expertise in process optimization and business architecture.
