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About the role
Key Skills Strong in python, understand the requirement, ML algorithms, how agentic AI works, How Prompt engineering works, smart in thinking and solutioning. RAG concepts, AWS knowledge, GEN AI, good system designing knowledge. Summary We are seeking a highly skilled Senior Engineer with expertise in Python and Generative AI to design, build, and deploy cutting-edge AI applications. The ideal candidate will bridge software engineering and ML/AI, delivering production-grade components, APIs, pipelines & services that leverage large language models (LLMs), prompt engineering, RAG (Retrieval-Augmented Generation), and vector databases among other technologies. Key Responsibilities Design, develop, and maintain backend systems in Python that enable Generative AI capabilities (e.g. APIs, microservices, pipelines). Integrate LLMs (from OpenAI, Anthropic, HuggingFace, or others) into applications; implement prompt engineering, few-shot, zero-shot, or fine-tuning workflows. Build and manage Retrieval-Augmented Generation (RAG) systems; choose/design vector stores/embeddings, indexing, and efficient retrieval. Work with both structured and unstructured data; data collection, preprocessing, cleaning, and feature engineering. Ensure robustness, scalability, and performance: design for high availability, monitoring, logging, observability of AI services. Write tests (unit, integration), document designs, follow best practices (code reviews, version control, CI/CD). Collaborate with cross-functional teams such as ML/AI research, data engineering, product management, and UX/store owners. Mentor junior engineers and contribute to defining architecture and tech strategy in GenAI space. Stay abreast of advances in GenAI / LLMs / open-source models / emerging tools; evaluate new tools/tech for adoption. Location: Location: Delhi NCR,Bangalore,Chennai,Pune,Kolkata,Ahmedabad,Mumbai,Hyderabad
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