Senior AI Engineer

Responsibilities

• Build and deploy AI agents that use tools, call services, manage context, and execute multi-step tasks.
• Develop and maintain MCP servers and tool integrations used by internal AI systems.
• Build workflow infrastructure using Temporal or similar orchestration frameworks.
• Design and implement agent evaluation flows, test suites, quality metrics, and feedback loops.
• Design backend services, APIs, persistence layers, and platform components for AI applications.
• Work with SQL and NoSQL databases, queues, distributed systems, and cloud-native infrastructure.
• Build CI/CD pipelines, Docker images, Kubernetes deployments, monitoring, and operational tooling.
• Debug production issues across services, workflows, agents, tools, models, and infrastructure.
• Collaborate with engineering, product, infrastructure, and data science teams to turn requirements into reliable systems.
• What we need to see

Languages