Teams at Kanerika

Build and productionize agentic AI and LLM features for an enterprise SaaS platform focused on data privacy and AI governance. Responsibilities include developing LangChain and LangGraph workflows, RAG pipelines, AI asset discovery, safety guardrails, model evaluations, backend API integrations, and observability. The role requires Python, cloud AI platforms across AWS and Azure, vector databases, prompt engineering, and experience deploying ML or GenAI applications in production.

Develops interactive Power BI dashboards, reports, and data models using DAX, Power Query, and SQL. Connects to diverse data sources, transforms and validates data, publishes reports through Power BI Service, schedules refreshes, and implements row-level security. Collaborates with business stakeholders to define reporting needs and ensures responsive, high-performance report experiences.

Develop backend services and REST APIs for an enterprise SaaS platform focused on data privacy, data governance, and AI governance. Build workflow, reporting, and data-processing features using Java and Spring Boot; integrate databases and third-party APIs; write unit and integration tests; document APIs; troubleshoot defects; and collaborate with frontend, QA, and DevOps teams in an agile environment.