Teams at Blanc Labs

Build and ship full-stack features for a production AI agent platform, including Python backend services, APIs, Next.js interfaces, LLM agent capabilities, real-time voice and messaging integrations, data models, migrations, background jobs, observability, and reliability improvements. The role involves contributing to the roadmap, prototyping agent capabilities, and debugging issues across the application and live conversations.

Architect and deliver production-grade agentic AI platforms on Azure using Azure OpenAI, vector search, tool calling, and orchestration frameworks. Lead systems from MVP through productization, ensuring scalability, security, reliability, observability, and operational readiness. Define API and integration standards, deploy Azure infrastructure, establish monitoring and SLOs, evaluate emerging agent frameworks, and support incident management. Collaborate with DevOps, SRE, and distributed cross-functional teams to document architectures and enable reusable platform components.

Designs and maintains scalable Azure data pipelines, lakehouse architectures, governance frameworks, semantic models, ontologies, taxonomies, and Neo4j knowledge graphs. The role integrates RDF and OWL standards with enterprise analytics and AI/ML applications, ensuring data quality, lineage, security, and performance. It collaborates with architects, analysts, and business stakeholders to translate complex relationships into reliable data solutions and documented architectural designs.