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Medium — niche LLM skillset and lesser-known employer create moderate applicant competition.
High — specialized LLM/deployment expertise is domain-specific and less transferable across industries.
High — explicit 6-8 year requirement plus many mandatory LLM, Python, API, and deployment skills.
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Design, develop, and deploy production-grade AI/ML backend services focusing on data-based chatbots using Large Language Models (LLMs).
Build and maintain scalable REST APIs using FastAPI that integrate with databases, vector stores, and external data sources.
Lead testing, evaluation, fine-tuning, and optimization of LLM workflows including prompt engineering and performance benchmarking.
6-8 years of experience in Python development and AI/ML engineering.
Strong hands-on skills with Python, FastAPI, REST APIs, data processing (Pandas, NumPy), LLMs, chatbot development, and deployment of AI/ML services.
Experience with testing frameworks such as Pytest for unit, integration, and API testing.
Work Experience Required: 6-8 years
Proficient in end-to-end development and optimization of LLM-based chatbot systems including data integration and backend services.
Experienced in designing scalable microservices architecture and cloud deployment of AI/ML applications.
Capable of leading team collaboration, client interactions, and code reviews while maintaining high-quality Python code and best practices.