About the Role
The role involves designing and deploying AI systems that enhance product capabilities, working across the development lifecycle to implement robust, maintainable solutions in production environments.
Responsibilities
- Lead the design and implementation of AI-driven features in production systems
- Collaborate with research teams to transition prototypes into scalable applications
- Ensure AI solutions comply with security and compliance standards
- Optimize machine learning models for performance and reliability
- Work closely with product managers to align AI capabilities with user needs
- Mentor junior engineers in best practices for AI development
- Evaluate new AI frameworks and tools for potential adoption
- Contribute to architectural decisions for data pipelines and model serving
- Monitor deployed models for accuracy, drift, and operational health
- Improve internal tooling for model training and evaluation
- Document technical designs and implementation details
- Troubleshoot complex issues across distributed systems
- Support audit readiness for AI components
- Integrate third-party AI services where appropriate
- Drive improvements in model explainability and transparency
- Participate in code reviews and system design discussions
- Ensure data privacy and access controls in AI workflows
- Work with cross-functional teams to validate AI outputs
- Maintain up-to-date knowledge of advancements in applied AI
- Balance innovation with technical debt management
Nice to Have
- Master’s degree in computer science or related field
- Experience with AI governance or model auditing
- Contributions to open-source AI projects
- Prior work in regulated industries such as fintech or healthcare
- Hands-on experience with vector databases and retrieval systems
- Knowledge of prompt engineering and LLM evaluation methods
- Experience with real-time inference systems
- Background in ethical AI principles
- Familiarity with data labeling pipelines
- Published work or speaking engagements in AI/ML domains
Compensation
Competitive salary with equity and benefits
Work Arrangement
Hybrid or remote options available
Team
Part of the core engineering team focused on product innovation
Our Engineering Culture
- We emphasize ownership, clarity, and impact in every technical decision.
- Engineers are expected to ship high-quality code while maintaining system reliability.
- Collaboration across disciplines is central to how we build and improve.
AI Ethics & Compliance
- All AI systems must meet strict compliance and auditability standards.
- We prioritize transparency, fairness, and accountability in model behavior.
- Ongoing monitoring and documentation are required for all deployed models.
Available for qualified candidates
