Applied AI Scientist

About the job

The Applied AI Scientist will lead the design, tuning, and evaluation of GenAI solutions. This role focuses on creating high-quality, business-relevant AI models, including RAG pipelines, LLM integrations, and prompt optimization strategies. Key Duties/ Responsibilities • Design, fine-tune, and evaluate large language model (LLM) pipelines for internal tools and customer-facing use cases. • Lead ... prompt engineering experiments to improve output quality and reduce hallucination. • Establish model evaluation frameworks using tools like Promptfoo, Trulens, LangSmith. • Collaborate with Enablement and Systems Engineers to integrate AI models into reusable components. • Contribute to innovation showcases and internal learning sessions. • Design, develop, and evaluate traditional ML models (e.g., classification, regression, clustering) for use cases such as resume matching, anomaly detection, or recommendation systems. • Perform feature engineering, preprocessing, and model training on structured datasets using tools like scikit-learn, XGBoost, or TensorFlow. • Collaborate with data and engineering teams to operationalize ML models via APIs or batch workflows. Leadership Skills: • Strong analytical thinking with the ability to guide AI solution design. • Able to mentor engineers on GenAI concepts and best practices. • Collaboration across engineering and innovation teams. Required Technical Skills: • Proficiency with HuggingFace Transformers, LangChain, LlamaIndex, RAG architectures. • Experience with Python, PyTorch, OpenAI API, and model evaluation tools. • Familiarity with vector databases (e.g., FAISS, Weaviate, Pinecone or equivalent vector store). • Prompt evaluation using LangSmith, Promptfoo, or similar frameworks. Qualification: • Bachelor s or Master s degree in Computer Science, AI/ML, or related field. • Minimum 6 years of industry experience with at least 2 years hands-on with GenAI applications in a production or product-context environment. Experience • 6 + Years

Requirements

• HuggingFace Transformers
• LangChain
• LlamaIndex
• RAG architectures
• Python
• PyTorch
• OpenAI API
• model evaluation tools
• vector databases
• LangSmith
• Promptfoo

Qualifications

• Bachelor s or Master s degree in Computer Science
• AI/ML
• related field

Preferred Technologies

• HuggingFace Transformers
• LangChain
• LlamaIndex
• RAG architectures
• Python
• PyTorch
• OpenAI API
• model evaluation tools
• vector databases
• LangSmith
• Promptfoo