About the Role
The role involves developing and maintaining internal tools with a focus on AI agents, improving automation, and supporting large-scale system integrations.
Responsibilities
- Design and implement scalable backend services for internal platforms
- Develop AI-driven automation tools to streamline internal workflows
- Collaborate with cross-functional teams to define system requirements
- Ensure high availability and performance of internal applications
- Integrate AI models into production environments
- Write clean, maintainable, and well-documented code
- Troubleshoot and resolve system issues in production
- Optimize application performance and response times
- Support deployment pipelines and CI/CD processes
- Conduct code reviews and mentor junior developers
- Implement security best practices across internal systems
- Monitor system health and respond to alerts
- Design APIs for internal service communication
- Work with data storage solutions and databases
- Ensure compliance with internal data governance policies
- Participate in architectural design discussions
- Maintain documentation for systems and processes
- Evaluate new technologies for potential adoption
- Contribute to disaster recovery planning
- Support integration with third-party services
- Improve observability through logging and monitoring
- Drive automation of repetitive operational tasks
- Ensure software meets scalability requirements
- Collaborate on incident response and post-mortems
- Stay current with advancements in AI and software engineering
Nice to Have
- Master’s degree in computer science or related field
- Experience with large-scale internal tooling
- Prior work on AI agent systems
- Familiarity with LLM-based application development
- Experience with Kubernetes in production
- Knowledge of service mesh technologies
- Background in financial or trading systems
- Open-source contributions
- Experience with observability platforms
- Understanding of authentication and authorization protocols
Compensation
Competitive salary and benefits package
Work Arrangement
Hybrid
Team
Internal applications team focused on AI-driven solutions
About the Team
This team builds internal applications that enhance productivity and decision-making through AI. Engineers work on tools that automate workflows, analyze data, and support business operations at scale.
What We Value
- Ownership of projects from design to deployment
- Technical excellence and innovation
- Collaborative problem-solving
- Continuous learning and improvement
- Clear communication across teams
Available
