Radian is looking to develop innovative AI solutions by hiring a Generative AI Engineer who can leverage expertise in generative models, deep learning, and data analysis to create intelligent and transformative AI applications that drive innovation and provide value.
Requirements
- Strong Python skills; Effective prompt engineering techniques; familiarity with other languages is a plus.
- Proficiency in AWS Bedrock includes Model access and knowledge base implementations. Experience in Azure OpenAI.
- Hands-on with models for text (e.g., Claude, Openai gpt, Gemini, etc.), understand model fine tuning.
- Building efficient data pipelines and managing large datasets.
- Measuring model outputs with suitable metrics; awareness of bias and fairness.
- AI coding assistant (e.g. github copilot and etc), version control (Git), testing, and building scalable systems.
- Must have AWS serverless experience, Azure or GCP.
Responsibilities
- Design and develop algorithms for generative models using deep learning techniques.
- Collaborate with cross-functional teams to integrate generative AI solutions into existing workflow systems.
- Research and stay up-to-date on the latest advancements in generative AI technologies and methodologies.
- Optimize and fine-tune generative models for performance and efficiency.
- Troubleshoot and resolve issues related to generative AI models and implementations.
- Create and maintain documentation for generative AI models and their applications.
- Communicate complex technical concepts and findings to non-technical stakeholders.
Other
- Degree Requirement: Bachelor's Degree or Equivalent Experience
- Work Experience: 1-2 years of prior work-related experience
- Reading and implementing recent AI papers; experimentation.
- Documenting work and collaborating with teams.
- Competitive Compensation: anticipated base salary from $78,700 to $129,000 based on skills and experience.
