LLM/AI Engineer

• Seeking a skilled and hands-on AI/LLM Engineer to join the AI development team.

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  Ideal candidate will have strong experience with Large Language Models (LLMs), including prompt tuning, model finetuning, and invocation orchestration.

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  Role focuses on designing, integrating, and optimizing LLM-powered systems to improve the overall user experience.

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  Will collaborate closely with product and engineering teams to evaluate, refine, and deploy conversational and generative AI solutions in real-time applications.

Key Responsibilities

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  Perform LLM finetuning using techniques such as prompt tuning and lightweight adaptation methods.

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  Build and manage invocation pipelines from applications to different LLMs (e.g., OpenAI, Anthropic, Mistral, local models).

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  Design prompting strategies to elicit accurate, consistent, and contextually relevant model outputs.

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  Define and evaluate LLM responses based on use case relevance, factual accuracy, and UX quality.

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  Continuously iterate and improve the response quality and user experience based on feedback and metrics.

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  Collaborate with product managers and designers to align AI behavior with business needs and product goals.

Required Skills & Experience

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  Proven experience working with LLMs, including prompt engineering and finetuning techniques (e.g., LoRA, PEFT, adapters).

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  Familiarity with frameworks such as Hugging Face Transformers, LangChain, or LLamaIndex.

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  Experience in real-time LLM integration into web or mobile applications.

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  Strong understanding of response evaluation frameworks, including qualitative and quantitative methods.

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  Programming proficiency in Python; experience with deployment tools and APIs is a plus.

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  Ability to work in a fast-paced, collaborative, and iterative development environment.