About the Role
Guide the design and implementation of scalable AI-driven solutions using advanced language models and generative techniques, ensuring robust performance and alignment with product goals.
Responsibilities
- Lead architecture and development of LLM-powered applications
- Design and refine generative AI pipelines for production use
- Collaborate with research teams to integrate novel models
- Mentor engineers in best practices for AI systems
- Evaluate emerging AI frameworks and tools
- Drive technical decisions across the AI stack
- Ensure model reliability, safety, and scalability
- Optimize inference performance and cost efficiency
- Implement evaluation frameworks for model outputs
- Work closely with product teams to define AI features
- Oversee deployment and monitoring of AI services
- Contribute to data strategy for model training
- Maintain high engineering standards in code and systems
- Troubleshoot complex issues in distributed AI environments
- Stay current with advancements in generative AI research
- Lead incident response for AI system failures
- Define metrics for AI feature success
- Support compliance with data privacy standards
- Foster collaboration between engineering and design
- Drive automation in model testing and validation
- Establish patterns for prompt engineering workflows
- Manage technical debt in AI components
- Evaluate third-party AI APIs and tools
- Lead sprint planning for AI development cycles
- Promote reproducibility in model experimentation
Nice to Have
- Advanced degree in Computer Science or AI-related field
- Experience with open-source AI projects
- Contributions to AI research publications
- Hands-on work with multimodal models
- Experience in low-latency AI systems
- Knowledge of reinforcement learning from human feedback
- Background in natural language processing
- Familiarity with vector databases
- Experience with model quantization techniques
- Worked on AI safety or alignment initiatives
- Exposure to real-time generative systems
- Involvement in AI product launches
- Understanding of model interpretability methods
- Experience with edge deployment of AI models
- Track record of open-sourcing tools or libraries
Compensation
Competitive salary with equity and benefits
Work Arrangement
Hybrid with flexible remote options
Team
Small, fast-moving team focused on AI innovation
About the Role
This position sits at the intersection of research and engineering, driving the practical application of generative AI in real-world products. You will shape the technical direction of AI features and ensure they meet performance, reliability, and usability standards.
What We Look For
We value deep technical expertise combined with the ability to lead teams through ambiguity. Candidates should demonstrate a history of solving hard engineering problems in AI and a passion for building systems that scale.
Available for qualified candidates
