About the Role
Our team is seeking a talented Agentic AI Engineer to join our innovative team. In this role, you will be instrumental in designing, developing, and deploying cutting-edge AI systems, with a strong focus on multi-agent architectures and advanced LLM applications. You will work across the full stack, collaborating closely with backend and frontend teams to deliver seamless, high-performance AI solutions.
Responsibilities
- Agent Design & Orchestration: Build and manage the logic for complex multi-agent workflows. You will design the systems that handle user onboarding (profile generation), dynamic scenario creation, and real-time interactive simulation loops.
- Context Engineering: Architect state management for the LLMs to prevent "context rot" and hallucination. You will strictly govern what each agent knows, structuring context dynamically to maximize token caching and minimize latency.
- Advanced Prompting & Evals Infrastructure: Write, test, and version-control robust system instructions for standalone LLMs and multi-agent workflows. You will design, implement, and own a rigorous evaluations (evals) framework to programmatically score both individual prompt performance and end-to-end agent lifecycles. You will establish the CI/CD-style testing loops required to iterate on model behavior predictably and safely at scale.
- Moderation and Security Risk Mitigation: Design and implement pipelines in collaboration with our backend team that moderate harmful or offensive user inputs while also mitigating prompt injection attacks and undesired LLM outputs.
- Full-Stack Integration: Work closely with backend and frontend teams to seamlessly integrate AI outputs into the user interface, ensuring smooth data flow from the models down to the client.