About the Role
Lead the development and architecture of a scalable agentic platform that enables autonomous agent behaviors through AI-driven workflows and resilient infrastructure.
Responsibilities
- Architect and implement core components of an agentic system platform
- Design distributed systems that support autonomous agent decision-making
- Collaborate with AI researchers to integrate machine learning models into production workflows
- Ensure system reliability, scalability, and fault tolerance
- Define technical roadmaps for long-term platform evolution
- Mentor engineers across teams on best practices in software design
- Evaluate and adopt new technologies that improve platform capabilities
- Drive engineering standards for code quality, testing, and deployment
- Work closely with product teams to align technical solutions with user needs
- Troubleshoot complex system issues in production environments
- Optimize performance and latency across microservices and data pipelines
- Implement observability and monitoring for agent behavior tracking
- Support secure coding practices and infrastructure security
- Lead cross-team initiatives to improve developer experience
- Contribute to incident response and on-call rotations
- Ensure compliance with data privacy and regulatory standards
- Prototype new agent interaction models and feedback loops
- Refactor legacy components to support evolving agent capabilities
- Collaborate on API design for internal and external integrations
- Drive automation in testing and deployment pipelines
- Participate in system design reviews and technical documentation
- Balance innovation with operational stability
- Scale infrastructure to support growing agent populations
- Integrate real-time data streams for dynamic agent behavior
- Promote reusability and modularity in platform components
Compensation
Competitive salary with equity and benefits package
Work Arrangement
Hybrid work model with flexibility for remote work
Team
Part of a high-impact engineering team building next-generation agentic systems
About the Role
This position is central to building a platform where autonomous agents operate, learn, and interact at scale. You will shape the infrastructure that powers intelligent behaviors and ensure it remains robust, efficient, and extensible.
What We Look For
We seek engineers with deep technical expertise and the ability to lead complex system designs. Candidates should combine innovation with practical execution and thrive in environments where software meets advanced AI concepts.
Technology Stack
Our platform leverages Go, Python, Kubernetes, gRPC, Kafka, and cloud-native services. We build on modern AI frameworks and prioritize infrastructure that supports rapid experimentation and deployment.
Growth and Impact
You will have the opportunity to define architectural standards, influence product direction, and contribute to foundational systems that enable future agent capabilities.
Collaboration Style
Expect close collaboration with research scientists, product engineers, and infrastructure teams. The role requires clear communication across disciplines and alignment on technical and strategic goals.
Work Environment
We value autonomy, ownership, and technical excellence. Engineers are encouraged to propose solutions, challenge assumptions, and drive improvements across the platform.
Onboarding and Development
New hires receive structured onboarding with mentorship and access to documentation. Continuous learning is supported through internal tech talks and conference participation.
Performance Expectations
Success is measured by system reliability, team enablement, and the ability to deliver complex features on time without compromising quality.
Diversity and Inclusion
We are committed to building a diverse team and fostering an inclusive culture where different perspectives are valued and supported.
Application Process
Candidates will go through a technical screen, system design interview, and team fit discussion. Final stages include a deep-dive coding exercise and leadership assessment.
Available for qualified candidates
