GenAI Engineer - Product Marketing & Adoption
Tasks
- Add content to search indexes for RAG
- Collaborate with product managers
- Create and test prompts
- Create monitoring tools and processes
- Deploy agent features in applications
- Estimate level of effort
- Evaluate agents with new large language models
- Explore new AI and machine learning techniques
- Implement agent analytics integrations
- Integrate APIs with agents
- Interface with Google teams for documentation and bug reports
- Maintain AI agent features
- Monitor answer quality
- Prototype implement and deploy features
- Tune models with RLHF
Perks/Benefits
- Casual work environment
- Flexible work hours
- Internet allowance
- Medical aid
- Provident fund
- Stock options
- Technology stipend
- Training and development
- Unlimited PTO
- Work-life balance
Skills/Tech-stack
Adapter-Tuning | Apache Spark | Function Calling | Generative AI | Google Cloud | Human Feedback | Java | JavaScript | Language Models | Large Language Models | Learning from Human Feedback | Learning techniques | Looker | Power BI | Prompt engineering | PyTorch | Python | RAG | RLHF | Reinforcement Learning | Reinforcement Learning Techniques | Reinforcement Learning from Human Feedback | Retrieval-Augmented Generation | SQL | Scala | Scikit-learn | Tableau | TensorFlow | TypeScript | Vertex AI
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Engineer | GenAI Engineer | Learning Engineer | Machine Learning Engineer
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