Jobs at Acclaim AI

Deploys, operates, and scales Kubernetes-based microservices platforms across cloud and on-premises environments. Manages GPU inference services, Docker images, Helm charts, CI/CD pipelines, Terraform and Ansible infrastructure, observability systems, access controls, and SOC 2 compliance. Investigates incidents, troubleshoots performance, improves security and reliability, and supports platform evolution across AWS, GCP, and customer deployments.

Deploys, operates, and scales Kubernetes-based microservices across cloud and on-premises environments. Manages GPU-powered ML inference services, Docker images, Helm charts, CI/CD pipelines, infrastructure through Terraform and Ansible, and observability platforms including Grafana, Prometheus, and ELK. The role also supports incident investigation, performance troubleshooting, SOC 2 compliance, access control, and continuous improvements to infrastructure, security, IAM, and deployment processes.

Own direct B2B sales for Voice AI in Uzbekistan: build and manage pipeline, run full sales cycle, close deals in target verticals, expand network, represent company at events, and relay market feedback to product and leadership.

Own production incidents from initial diagnosis through resolution, analyzing logs, locating affected services, executing runbook actions, communicating with stakeholders, and escalating issues with clear technical context. The role also involves troubleshooting Kubernetes-based infrastructure, creating actionable tickets and bug reports, and maintaining runbooks and knowledge-base documentation. It is a growth-oriented entry point toward DevOps or development.

Own production incidents end to end by diagnosing logs, services, configurations, networks, DNS, and infrastructure; execute runbook actions, communicate with stakeholders, escalate issues with clear context, and create tickets and bug reports. The role also contributes to runbooks and knowledge bases while supporting platform operations through Telegram, Slack, and email. It is fully remote across Europe and offers a path toward DevOps or development.

Designs prompts, scripts, conversational flows, and test datasets for AI agents. Analyzes business processes, employee instructions, conversation transcripts, and recordings to automate client workflows. Develops prompt-testing, evaluation, and quality-assessment methodologies, using human feedback and AI observability tools to refine agent performance in production.