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Mid-level ML/AI role with in-demand LLM skills but non-Tier1 employer, moderate applicant density.
Highly specialized LLM, fine-tuning, and backend skills limit cross-industry transferability.
Explicit 6–8 years plus many mandatory LLM, Python, API, and testing skills.
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Develop and deploy production-ready Python applications focused on data-driven AI/ML solutions, specifically chatbots using Large Language Models and Retrieval-Augmented Generation.
Design, build, and maintain backend services and scalable REST APIs with FastAPI, integrating multiple data sources including databases and vector stores.
Optimize LLM workflows including prompt engineering, fine-tuning, evaluation, and performance benchmarking while ensuring code quality through testing frameworks like Pytest.
6-8 years of professional experience in AI/ML or Python backend development roles.
Proficient in Python with hands-on experience in FastAPI, REST API development, and data processing libraries (Pandas, NumPy).
Experience developing data-based chatbots using LLMs, including prompt engineering, fine-tuning, and model evaluation.
Capable of deploying AI/ML services and Python applications in cloud or server environments.
Demonstrates strong ownership of end-to-end AI/ML backend architecture integrating complex data workflows and external APIs.
Experienced in building scalable, tested APIs serving AI applications within microservices or modular backend architectures.
Comfortable collaborating with frontend developers and clients to deliver integrated AI-driven solutions and lead technical teams.