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Metro location, mid-level (5+ years), strong employer brand, and broad full-stack requirements increase candidate competition.
Full-stack and distributed-systems skills are broadly transferable, though AI-agent domain adds moderate sector specificity.
Explicit 5+ years, mandatory full-stack backend/frontend expertise, and specific tech (Python, Go, React) create high shortlisting strictness.
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Design, build, and maintain scalable backend services and asynchronous workflows primarily in Python and Go for AI agent evaluation systems.
Develop complex, interactive frontend interfaces using React and TypeScript to configure and visualize multi-turn agent interactions and detailed evaluation reports.
Integrate secure execution environments with backend control planes and operate scalable APIs to support AI inference testing and monitoring.
5+ years of software engineering experience including both backend and frontend development.
Proficiency in Python and Go (or strong C++/Java experience with fast learning ability), and frontend frameworks like React with TypeScript.
Experience with durable workflow orchestration engines, containerization/virtualization technologies (e.g., Docker, Kubernetes), and building resilient APIs (gRPC, REST, or GraphQL).
Location requirement: Hyderabad, India.
Experienced in highly concurrent, fault-tolerant distributed systems combining backend and frontend expertise.
Skilled at managing complex client-side state and rendering performance for data-heavy web applications and developer tools.
Comfortable collaborating with designers and product managers to deliver intuitive tools for testing non-deterministic AI agents, with foundational understanding of AI/ML ecosystem interactions.