As a Staff Software Engineer, you will design and build next-generation intelligent systems that blend software, models, and automation into cohesive, adaptive platforms. Your mission is to create deployable, self-improving systems—software that can reason, generate, evaluate, and iteratively improve its own outputs. You will focus on building agent-driven systems, evaluation frameworks, and protocol-based integrations (MCP) that enable seamless interaction between models, tools, and real-world workflows. About the team Our team operates at the intersection of software engineering, AI systems, and rapid experimentation. We build platforms that enable intelligent automation at scale—ranging from agent orchestration to developer-facing AI systems. We emphasize iteration speed, practical impact, and systems that learn from usage, not just static training. The work often involves ambiguous problem spaces where we define patterns as we build them. What you'll do Design and build end-to-end agentic systems capable of multi-step reasoning, planning, and tool execution. Develop AI-assisted development workflows that accelerate how software is written, tested, and iterated. Build agent evaluation frameworks (offline + online) to measure quality, reliability, and system behavior. Implement feedback-driven systems that continuously improve outputs using real-world signals. Architect and integrate MCP-based systems to standardize interactions between models, tools, and services. Develop multi-agent workflows with coordination, delegation, and dynamic task execution. Build scalable services (APIs, pipelines, event-driven systems) supporting real-time and batch use cases. Introduce patterns for observability, debugging, and traceability in AI-driven systems. Rapidly prototype and iterate on new system behaviors, workflows, and interaction models. Contribute to shaping engineering practices for AI-native application development.
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Job Type
Full-time
Career Level
Mid Level