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Remote mid-level AI role with 5+ years requirement and broad appeal increases competition.
Specialized LLM and prompt-engineering skills create a strong domain bias across industries.
Explicit 5+ years requirement plus mandatory LLM, AWS, and Python expertise raises filtering strictness.
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Lead design and implementation of AI prompt engineering, including developing context-aware prompts and expanding prompt libraries for specific applications.
Integrate and manage Amazon Bedrock LLM services to optimize model selection, inference costs, and maintain audit logging for compliance.
Collaborate cross-functionally to deploy AI/ML algorithms in production, optimize models, conduct data analysis, and mentor junior engineers.
Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or related field.
Approximately 5+ years of experience building AI models involving ML, NLP, and deep learning.
Proficient in prompt engineering and familiar with LLM concepts, information retrieval, and recommendation systems.
Experience with Python AI/ML ecosystems and AWS services, especially integrating with inference engines like Amazon Bedrock and OpenAI APIs.
Experienced senior-level AI/ML engineer with proven capability in managing prompt engineering and large language models in production environments.
Strong software engineering skills combined with data engineering abilities to manipulate and prepare large datasets for LLM applications.
Ability to balance technical depth (model optimization, audit logging) with cross-team collaboration and mentorship responsibilities.