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aws kubernetes kafka rag langgraph📋 Description
- Lead and mentor a team of Applied Scientists and AI/ML Engineers.
- Lead the tech strategy for AI/ML solutions from structured CRM data to unstructured content.
- Build AI-native CRM intelligence with autonomous workflows and real-time reasoning at scale.
- Partner with the AI Platform team to drive LLMOps strategy and deployment readiness.
- Apply scientific intuition to design AI systems for customer-centric real-world performance.
- Act as a technical authority shaping AI/ML roadmap and modern AI stack.
🎯 Requirements
- 8+ years in applied science/engineering with full ML/AI lifecycle in production.
- Proven ability to lead and scale a technical team; mentor senior talent.
- Deep expertise in modern AI engineering; agentic systems (LangGraph), RAG, and vector databases.
- Shipping iterative AI solutions that solve real customer problems.
- Track record delivering value with AI/ML solutions at scale.
- Solid knowledge of AWS/GCP, distributed systems, containers, data pipelines (batch, Kafka).
🎁 Benefits
- People-first culture with collaboration and inclusivity.
- Opportunity to push boundaries and experiment with latest technologies.
- Flexible hours, wellness perks, generous leave policies.
- Growth through mentorship, internal mobility, and accountability.
- Meaningful work helping 100,000+ SMBs grow and succeed.
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