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The ideal candidate will have strong LLMOps proficiency, encompassing prompt engineering, evaluation methodologies, model orchestration, standardized output structures, and delivery of high-confidence, production-grade AI solutions.\n\nKey Responsibilities : \n\n- Architect and deploy comprehensive LLM solutions across various AI applications.\n\n- Collaborate with cross-functional teams to ensure seamless integration and operation of AI frameworks.\n\n- Optimize AI solutions for performance and reliability.\n\n- Deliver high-confidence, production-grade AI solutions.\n\nPreferred Candidate Profile : \n\n- Proven expertise in architecting and deploying LLM solutions, including generative AI applications.\n\n- 3 - 4 years experience working in a corporate context.\n\n- Strong LLMOps proficiency in prompt engineering, evaluation methodologies, and model orchestration.\n\n- Robust full-stack engineering background with Python, TypeScript, FastAPI/Django, RESTful API design, SQL, and 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