About the role
Responsibilities Partner directly with clients to understand objectives, workflows and operational constraints Design and build AI-enabled applications, agentic workflows, APIs, data pipelines and full-stack products Engineer harnesses around AI models: prompts, tools, context, permissions, observability and feedback Build agent loops and graph-based orchestration coordinating models, tools and human approvals Create evaluation frameworks measuring accuracy, reliability, safety, latency and cost Integrate solutions with client systems, enterprise data sources and cloud platforms Establish engineering practices including automated testing, documentation, security and CI/CD Requirements Professional experience building and deploying production-grade software, ideally AI-powered or agentic Strong proficiency in Python, TypeScript or similar languages Practical understanding of harness engineering and agent loops Experience designing evaluation systems for AI applications Strong knowledge of APIs, distributed systems, databases and cloud infrastructure Experience collaborating directly with customers or cross-functional teams Excellent written and verbal communication skills Preferred Qualifications Experience with agent frameworks, RAG, vector search and model-routing strategies Experience with AWS, Microsoft Azure or Google Cloud Experience with containers, Kubernetes, infrastructure as code and CI/CD Experience in consulting, professional services or customer-facing technical roles About the Company TribalScale is a digital innovation firm that helps organizations build digital products, modernize platforms and apply emerging technologies including AI.