Related skills
aws kubernetes gcp kafka langgraph📋 Description
- Lead and mentor a team of Applied Scientists and AI/ML Engineers
- Define AI/ML strategy to extract value from data
- Build AI-native CRM intelligence with agentic workflows
- Collaborate on LLMOps to enable experimentation and deployment
- Apply rigorous science to design scalable, customer-centric AI systems
- Set AI engineering roadmap and raise the technical bar across the stack
🎯 Requirements
- 8+ years of applied science or engineering in high-scale AI/ML production
- Proven ability to lead and scale a technical team with mentoring
- Deep expertise in AI engineering; LangGraph, RAG architectures, vector databases
- Builder who ships iterative AI solutions for real customers
- Track record delivering value with AI/ML at scale
- Solid cloud infra knowledge (AWS/GCP), Kubernetes, Kafka
🎁 Benefits
- People-first culture; collaboration and inclusion
- Unlock potential; push boundaries and experiment with AI technologies
- Flexible hours, wellness perks and generous leave
- Growth through mentorship, coaching, and internal mobility
- Equal opportunity employer
Meet JobCopilot: Your Personal AI Job Hunter
Automatically Apply to Engineering Jobs. Just set your
preferences and Job Copilot will do the rest — finding, filtering, and applying while you focus on what matters.
Help us maintain the quality of jobs posted on Empllo!
Is this position not a remote job?
Let us know!