Lead design, development, deployment of AI/GenAI solutions.
Set technical direction; mentor engineers; ensure high quality.
Build scalable, production-grade AI platform systems.
Solve complex technical challenges; influence architecture decisions.
Collaborate with product managers, data scientists, and leadership to deliver cohesive solutions.
Own end-to-end projects from ideation to deployment and monitoring.

🎯 Requirements

10+ years as a software engineer
Deep expertise in Python, FastAPI, PyTest, Celery
Experience with distributed systems and microservices
AI/GenAI model deployment and lifecycle management
LangChain and LangGraph familiarity
Kubernetes, Docker, and cloud platforms (GCP/AWS)

🎁 Benefits

Hybrid work environment supporting work-life balance
Mentorship and engineering career development
Opportunity to lead AI platform initiatives
Work with a global customer base including Fortune 100
Collaborative, inclusive culture

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