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docker python kubernetes rag generative ai📋 Description
- Architect and deliver LLM-powered applications and Copilot experiences.
- Lead design, development, and operation of production-grade GenAI systems.
- Own backend services and APIs for AI inference and orchestration.
- Drive GenAI/MLOps: evaluation, monitoring, and CI/CD.
- Optimize AI systems for quality, cost, latency, and reliability.
- Mentor engineers and shape AI engineering practices.
🎯 Requirements
- 10+ years of professional software engineering experience.
- Strong Python (required); Java/Go/TypeScript a plus.
- Deep hands-on experience with LLMs and Generative AI systems.
- Strong experience with RAG, embeddings, vector search, and prompt engineering.
- Experience building Copilot-style or agent-based AI systems.
- Strong understanding of distributed systems, APIs, and microservices.
- Experience deploying and operating systems using Docker/Kubernetes.
- Experience with Azure, AWS, or GCP.
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