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Remote role, popular AI/LLM specialization, and mid-level experience range drive moderate competition.
Core generative AI and LLM engineering skills are transferable but require ML and enterprise integration experience.
Explicit 3–8 year requirement plus mandatory hands-on generative AI and enterprise integration skills increase strictness.
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Design, develop, and deploy Generative AI and large language model (LLM) solutions aligned with business use cases.
Engineer and optimize prompt and context frameworks to improve AI output accuracy and effectiveness.
Integrate AI models with enterprise applications via APIs and measure business impact of AI solutions while ensuring responsible AI practices.
3 to 8 years of experience in AI/ML, software development, or related technical field.
Hands-on experience building Generative AI or LLM-based solutions and prompt engineering.
Experience with data preparation/management for AI and integrating AI solutions with enterprise systems through APIs.
Familiarity with responsible AI principles including privacy, security, compliance, and ethical usage.
Has demonstrated ability to deliver AI solutions in enterprise environments targeting measurable business improvements.
Comfortable working remotely and communicating effectively in a virtual environment.
Experienced in evaluating and improving AI model performance with a focus on governance and ethical AI best practices.