AI Engineer

What you'll do

• Design and implement retrieval-augmented generation (RAG) pipelines to ground AI responses in enterprise knowledge.
• Develop AI models to improve customer service automation with measurable performance gains.
• Apply prompt engineering and fine-tuning techniques to optimize AI system performance.
• Create AI tools to integrate AI-driven improvements into existing operational frameworks.
• Design AI systems to enhance interaction capabilities within complex service workflows.
• Contribute to strategic AI initiatives to advance organizational goals for customer satisfaction and efficiency.

What we're looking for

• Must have a Bachelor's degree plus related work experience or an advanced degree plus related work experience.
• Degree must be in Computer Science, Engineering, Artificial Intelligence, or Data Science.
• Must have 2+ years of experience developing and deploying machine learning models, including fine-tuning and prompt engineering.
• Must have 2+ years of experience with AI tools and software development using programming languages such as Python or R.
• Must have 2+ years of experience collaborating with cross-functional teams to integrate AI solutions into business workflows.
• Must possess skills in RAG, Vector Databases/Embeddings, Prompt Engineering, and LLM orchestration frameworks like LangChain or ADK.
• Must have experience in Cloud Computing for RAG deployment and LLM application infrastructure.
• Must be at least 18 years of age and legally authorized to work in the United States.
• Certified Analytics Professional (CAP) certification (preferred).
• Machine Learning Certification (preferred).
• Certified Data Scientist (CDS) certification (preferred).