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aws postgresql kubernetes gcp prompt engineering📋 Description
- Design and develop ML infrastructure, tooling, and models for world-class experiences.
- Build platforms to enable AI in features and customer-facing products.
- Translate product goals into scalable, resilient data integration and event services.
- Mentor engineers and elevate technical standards across teams.
- Lead strategic technical initiatives and shape engineering standards.
- Write high-quality, testable cloud-based code and ensure reliability.
🎯 Requirements
- 12+ years of software engineering with progressive technical leadership.
- Experience building ML-driven B2B multi-tenant apps at scale.
- Distributed systems expert handling large-scale transactions and data.
- 8+ years ML/AI experience, NLP focus preferred.
- LLMs, RAG, Prompt Engineering, Fine Tuning, multi-modal models.
- Cloud-native infra on GCP/AWS; Kubernetes; IaC; highly available design.
🎁 Benefits
- Remote (US-based) work arrangement.
- Opportunity to mentor engineers and lead initiatives.
- Work on GenAI and ML infrastructure at healthcare scale.
- Collaborative, cross-team environment.
- Inclusive, equal-opportunity employer.
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