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python kubernetes gcp fastapi langchain📋 Description
- Design, develop, deploy advanced AI and GenAI products.
- Drive technical innovation and lead complex projects.
- Mentor junior engineers and guide technical decisions.
- Own AI/ML architecture and ensure code quality.
- Lead end-to-end GenAI work: data, training, deployment.
- Collaborate with cross-functional teams to deliver features.
🎯 Requirements
- 8+ years of software development with AI/ML or GenAI.
- GenAI product development end-to-end: data, train, deploy.
- Strong Python, FastAPI, PyTest, Celery.
- Cloud & DevOps: GCP/AWS/Azure; Docker/Kubernetes; CI/CD.
- Architectural design, code reviews, testing, and reliability.
- Bachelor's degree in CS/Engineering; master's preferred.
🎁 Benefits
- Collaborative, growth-focused culture and Conga Way.
- Commitment to equal opportunity and inclusive workplace.
- Opportunity to work with cutting-edge AI tech.
- Support for learning and career development.
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