Teams at TribalScale

Design and implement automated testing and evaluation frameworks for AI agents, LLM applications, and agentic workflows. Test APIs, integrations, tool use, multi-step reasoning, and end-to-end behavior; identify hallucinations, failures, and edge cases; establish quality metrics and benchmarks; integrate testing into CI/CD; and collaborate with engineering and product teams to improve reliability, security, resilience, and production performance.

Build and deploy production-grade AI applications and agentic systems for client organizations. Translate ambiguous business needs into architectures, prototypes, workflows, APIs, data pipelines, and scalable products. Engineer agent harnesses, orchestration graphs, evaluations, observability, safeguards, and human controls. Collaborate directly with clients and cross-functional teams, troubleshoot complex environments, communicate technical trade-offs, and support workshops and pre-sales. Occasional travel may be required for client engagements.

Build and deploy production AI-enabled applications and agentic systems for clients. Responsibilities include designing agent loops, harnesses, state graphs, tools, evaluation frameworks, observability, safeguards, APIs, data pipelines, and full-stack products. The role involves translating ambiguous business needs into technical solutions, integrating enterprise systems and cloud platforms, troubleshooting deployments, advising clients, mentoring engineers, and supporting discovery, workshops, demonstrations, and pre-sales activities.