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The Customer Support Engineer provides technical support for AI solutions, engaging with customers to resolve issues, collaborating with teams, and contributing to product improvements.

Design and implement manifest-driven provisioning and reconciliation systems for GPU hosts and clusters. Build durable workflow engines, declarative self-service APIs, event-driven automation, self-healing pipelines, and production-grade control planes. Own coding, testing, CI/CD, and operate the platform in production to eliminate manual provisioning.

Provide technical support to customers on AI solutions, resolve complex issues, collaborate with teams, and improve product offerings.

Own full sales cycle for strategic AI-native and enterprise accounts: generate pipeline, close new business, expand customers, and partner with Solutions, Engineering, and Research to run POCs and scale deployments. Provide technical and business insights to inform product and sales strategy.

As a Senior Developer Productivity Engineer, you will enhance CI/CD processes, optimize workflows, and build tools for efficient software delivery.

Operate and scale Together AI's production infrastructure: run GPU-enabled Kubernetes clusters, automate with Ansible and Terraform, build monitoring/observability, respond to incidents (on-call), debug production issues, design deployment/upgrade processes, and plan infrastructure growth for high availability and scalability.

Design and implement Elixir APIs and services, maintain BEAM production systems, build service SDKs, improve integrations, ensure high code quality, and work with PostgreSQL and MongoDB while contributing to authentication/authorization features.

The Site Reliability Engineer ensures user-facing services run smoothly, focuses on systems reliability and scalability, and enhances operational practices through automation and engineering principles.

Provide legal support for infrastructure procurement and enterprise commercial deals. Lead negotiations for GPU/cloud capacity, data center, networking, and vendor agreements; align vendor terms with customer contracts; manage export controls and data/privacy compliance; build templates, playbooks, and scalable procurement and sales workflows; support partnerships, reseller and go-to-market deals; and run procurement processes and vendor template libraries.

This role involves optimizing model serving layers for voice AI applications, working with inference engines, and improving performance for STT and TTS systems.