Artificial Intelligence Engineer
Salary undisclosed
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About the Role: We are seeking a highly skilled and passionate AI engineer to design, build, and deploy cutting-edge applications leveraging the power of Large Language Models (LLMs). You will play a pivotal role in bringing our innovative AI projects to life.
Responsibilities:
- LLM Application Development: Design, develop, and deploy LLM-powered applications. This involves selecting appropriate LLMs (e.g., GPT, PaLM, etc.), fine-tuning models for specific tasks, and optimizing for latency and cost-effectiveness.
- Model Integration & Optimization: Seamlessly integrate developed LLMs with existing business systems and workflows. Continuously monitor and optimize model performance, addressing issues related to accuracy, efficiency, and scalability.
- UI/UX Development: Create intuitive and user-friendly interfaces for our LLM applications using frameworks such as Streamlit, React, Angular, or Vue.js. This includes designing effective prompt engineering strategies to maximize the quality and relevance of LLM responses and developing interfaces that manage context effectively for complex interactions.
- Prompt Engineering & Optimization: Design and implement advanced prompt engineering strategies to elicit high-quality, relevant, and contextually appropriate responses from LLMs. This includes experimenting with different prompt formats and parameter tuning to optimize model performance for specific tasks within our projects.
Required Skills:
- Strong Python programming skills.
- Extensive experience with Large Language Models (LLMs) – demonstrated experience with fine-tuning and deployment is essential.
- Experience with UI/UX development using frameworks like Streamlit, React, Angular, or Vue.js.
- Experience with at least one major cloud platform's ML services (e.g., Google Vertex AI, AWS SageMaker, Azure ML Studio).
- Proven experience in prompt engineering and LLM optimization techniques.
- Strong understanding of machine learning algorithms and techniques.
- Familiarity with deep learning neural networks and frameworks.
- Problem-solving – Ability to identify and solve complex problems using AI.
- Excellent communication skills to explain technical concepts to technical and non-technical audiences.
About the Role: We are seeking a highly skilled and passionate AI engineer to design, build, and deploy cutting-edge applications leveraging the power of Large Language Models (LLMs). You will play a pivotal role in bringing our innovative AI projects to life.
Responsibilities:
- LLM Application Development: Design, develop, and deploy LLM-powered applications. This involves selecting appropriate LLMs (e.g., GPT, PaLM, etc.), fine-tuning models for specific tasks, and optimizing for latency and cost-effectiveness.
- Model Integration & Optimization: Seamlessly integrate developed LLMs with existing business systems and workflows. Continuously monitor and optimize model performance, addressing issues related to accuracy, efficiency, and scalability.
- UI/UX Development: Create intuitive and user-friendly interfaces for our LLM applications using frameworks such as Streamlit, React, Angular, or Vue.js. This includes designing effective prompt engineering strategies to maximize the quality and relevance of LLM responses and developing interfaces that manage context effectively for complex interactions.
- Prompt Engineering & Optimization: Design and implement advanced prompt engineering strategies to elicit high-quality, relevant, and contextually appropriate responses from LLMs. This includes experimenting with different prompt formats and parameter tuning to optimize model performance for specific tasks within our projects.
Required Skills:
- Strong Python programming skills.
- Extensive experience with Large Language Models (LLMs) – demonstrated experience with fine-tuning and deployment is essential.
- Experience with UI/UX development using frameworks like Streamlit, React, Angular, or Vue.js.
- Experience with at least one major cloud platform's ML services (e.g., Google Vertex AI, AWS SageMaker, Azure ML Studio).
- Proven experience in prompt engineering and LLM optimization techniques.
- Strong understanding of machine learning algorithms and techniques.
- Familiarity with deep learning neural networks and frameworks.
- Problem-solving – Ability to identify and solve complex problems using AI.
- Excellent communication skills to explain technical concepts to technical and non-technical audiences.