8th Light partners with organizations to solve meaningful challenges and drive sustainable growth by optimizing their digital products through product strategy innovation, experiential design, AI solutions, and deep engineering expertise.
Requirements
- Written production-quality code in the following languages: Python, Java, Javascript, and React
- Leveraged AI-assistive development tools for tasks like scaffolding, refactoring, debugging, test generation, and documentation
- Experience building or integrating AI/ML-powered features into products or systems (e.g., recommendation engines, NLP models, computer vision, predictive analytics)
- Used context-appropriate automated testing to inform software design choices and catch bugs
- Debugged and refactored pre-existing code to incrementally improve it
- Collaborated with teams using Git, MacOS/Linux, and CI/CD
- Remedied architecture-level concerns such as scalability, security, reliability, and performance
Responsibilities
- Leading architecture and software design discussions
- Collaborating on systems that involve the full ML lifecycle from data ingestion and preprocessing, to model deployment, integration, and performance monitoring
- Making immediate contributions to projects, rapidly building trust with clients
- Working pragmatically to balance technology choices while delivering high-quality work within deadlines
- Generating new potential solutions to challenges (technical and non-technical) in partnership with team members and clients
- Clearly articulating and documenting outcomes and driving forward action items
- Ensuring your team has a healthy, prioritized, estimated backlog
Other
- Successfully led high-stakes consulting engagements from discovery to production
- Brought together people from different functions and perspectives in forums that encourage idea sharing, collaboration, and problem solving
- Made thoughtful recommendations and set direction in the face of ambiguity
- Mentored and shared knowledge with colleagues
- Communicated empathically with stakeholders and colleagues
