Applied AI Backend Engineering Lead
Posted 95ds ago
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Job Description
Applied AI Backend Engineering Lead integrating AI solutions into legal tech platforms. Leading AI team in backend development and collaborating with cross-functional departments.
Responsibilities:
- Lead AI-driven Backend Development
- Architect solutions: Design and implement AI-powered features into our product.
- Feature development: Build scalable backend systems that power AI functionality.
- Innovation: Propose AI enhancements and improvements to elevate user experience.
- Improve system performance and scalability
- Optimization: Identify and address performance bottlenecks across AI and core backend systems.
- Scalability planning: Build systems that scale with growing AI workloads and user demand.
- Monitoring & troubleshooting: Leverage metrics and logs to proactively maintain system reliability.
- Mentor and support the AI Solutions Team
- Team leadership: Guide engineers through code reviews, workshops, and pair programming.
- Knowledge sharing: Foster a culture of learning around AI integration and backend best practices.
- Career growth: Support junior engineers in skill development and confidence building.
- Collaborate across teams
- Cross-functional planning: Partner with Product, Design, and AI teams to translate requirements into technical solutions.
- Problem-solving: Drive discussions to resolve complex technical and product challenges.
- Feedback loop: Help prioritize AI initiatives, technical debt, and feature requests for maximum impact.
Requirements:
- Extensive experience with Ruby on Rails and backend architectures in production environments
- Strong understanding of web applications, RESTful APIs, and database design
- Hands-on experience with AI integration, CI/CD pipelines, testing frameworks, and cloud-based deployments
- Proven track record of performance optimization and scaling complex applications
Benefits:
- Health insurance
- Professional development opportunities


















