Related skills
aws kubernetes gcp kafka rag📋 Description
- Lead and mentor Applied Scientists and AI/ML Engineers with technical excellence and rigor
- Lead the AI/ML strategy for value from structured CRM data and unstructured content
- Build AI-native CRM intelligence with autonomous workflows and real-time reasoning that scale safely
- Partner with the AI Platform team to drive LLM Ops strategy and robust deployment
- Apply deep scientific intuition to design AI systems optimizing for customer value
- Act as a technical authority shaping the AI engineering roadmap
🎯 Requirements
- 8+ years of applied science/engineering with ML/AI lifecycle in production
- Proven ability to lead and scale a technical team, mentoring senior talent
- Deep expertise in AI engineering; LangGraph, RAG, vector databases hands-on
- Builder who ships iterative AI/ML solutions solving real customer problems
- Track record delivering customer/business value with AI/ML solutions at scale
- Cloud infra AWS/GCP, distributed systems, Kubernetes, Kafka
🎁 Benefits
- People-first culture with collaboration and inclusivity
- Push boundaries, ownership, and experimentation with latest tech
- Flexibility, wellness perks, paid leave, and supportive benefits
- Mentorship, coaching, internal mobility, open feedback and accountability
- Help 100k+ SMBs grow through customer-driven work
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