AI Engineer

• Design, develop, and maintain high-quality AI Applications.
• Build and maintain AI services that integrate AI model APIs (Google Vertex, Azure OpenAI, Hugging Face, etc.), manage session/state, rate limits, caching, and privacy controls.
• Implement ingestion and retrieval pipelines: document ingestion, embedding generation, vector DB selection (Chroma, Pinecone, Milvus), and RAG orchestration.
• Create robust prompt/context engineering patterns, templates, and safety filters to control hallucination, cost and user intent.
• Implement scalable and efficient backend systems using state-of-the-art technologies (e.g., FastAPI, Node.js)
• Design and implement intuitive and optimized user interfaces and frontend functionalities as needed.
• Ensure infra, deployment and reliability: containerization (Docker), orchestration (Kubernetes), serverless options, CI/CD, monitoring, logging and incident response.
• Collaborate with cross-functional teams to develop AI applications, implement new features and functionalities.
• Discuss, contribute ideas, give meaningful code reviews and communicate accurately and effectively.

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