Teams at Shuru

Build and ship production-grade AI agents, LLM workflows, and automation systems. Develop Python and FastAPI backend services, implement prompting, RAG, structured outputs, tool calling, and agent workflows, and create evaluation systems to measure accuracy and prevent regressions. Own features from conception through production, debug AI systems using real-world data, and collaborate within small engineering squads using AI-assisted development tools.

Designs, builds, and maintains scalable data pipelines and cloud-based data solutions using Python, SQL, Snowflake, PySpark, and AWS. Develops data ingestion, transformation, analytics, and integration frameworks for large datasets while improving performance, reliability, and data quality. Collaborates with product, business, and QA teams and applies AI-native tools and workflows for coding, testing, reviews, documentation, and productivity.

Build and deploy AI agents, LLM-powered applications, intelligent workflows, automations, backend services, APIs, and integrations. Translate ambiguous business problems into production-ready solutions involving retrieval, memory, tool use, structured outputs, monitoring, evaluation, and error handling. Collaborate with product, engineering, and business stakeholders while experimenting, debugging, and continuously improving AI systems in a fast-moving startup environment.