Teams at Synthio Labs

Build and operate production Kubernetes and AWS infrastructure across environments and customer deployments. Own CI/CD pipelines, automated provisioning, deployments, rollbacks, observability, reliability, scalability, and security. Debug issues involving Kubernetes, networking, databases, and applications, while developing internal tooling to improve engineering productivity. Partner with engineering, customer infrastructure, and security teams on enterprise deployments.

Build and deploy production AI systems across LLM orchestration, retrieval, agents, evaluations, voice, APIs, backend services, and infrastructure. Design reliable LLM pipelines, evaluation suites, data flows, and real-time multimodal experiences. Experiment with emerging models, debug issues across the stack, and communicate technical decisions clearly while owning projects from exploration through production iteration.

Work directly with pharmaceutical customers to understand workflows and design, prototype, integrate, and deploy AI-powered solutions. Translate ambiguous requirements into technical architectures, build Python-based integrations and data workflows, lead technical discovery and implementation workshops, debug APIs and cloud deployments, and collaborate with customer and internal engineering teams. Bring recurring customer needs to product and engineering while supporting regulated enterprise AI deployments.