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Job description

1. Core Technical Skills • Python (advanced proficiency; ability to build APIs, pipelines, and modular frameworks). • Hands-on with at least one GenAI framework: • LangChain, LangGraph, or Google ADK (AI Development Kit). • Expertise with LLM integration (OpenAI API, Gemini API, Ollama, Hugging Face, etc.). • Experience with RAG, embeddings, and vector databases. • Familiarity with PEFT, LoRA, or prompt fine-tuning approaches. • Cloud / Hyperscaler Expertise (at least one required) • Google Cloud Platform (GCP) Vertex AI, Document AI, BigQuery, AlloyDB, Cloud Run, IAM • Azure – Azure OpenAI, Cognitive Search, Azure ML, Azure Functions • AWS – Bedrock, SageMaker, Lambda, API Gateway, DynamoDB 1. Other Desirable Skills • Knowledge of REST APIs, JSON, and FastAPI/Flask frameworks. • Familiarity with data governance, PII handling, and AI ethics principles. • Understanding of Docker/Kubernetes, CI/CD, and Git-based version control. • Exposure to front-end integration with AI chat agents (React, Streamlit, Gradio, etc.) is a plus.

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