Senior AI Engineer

Описание

This role involves building and operating production AI systems and infrastructure, working on AI agents, MCP servers, agent evaluation, and Temporal-based workflow frameworks. This is a hands-on engineering role for someone who can move between backend systems, AI application development, deployment, and production support, helping to build reliable services and frameworks that make AI agents usable, measurable, and dependable in production.

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

Requirements

• 5+ years of experience and a practical understanding of how AI agents are built, including tool use, state, context, and multi-step execution
• Bachelors degree or equivalent experience
• Experience with at least one open-source agent or LLM application framework, such as LangChain/LangGraph
• Strong software engineering background, especially in backend development
• Experience with distributed systems, workflow orchestration, and production service design
• Hands-on experience with SQL and NoSQL databases
• Experience with Docker, Kubernetes, CI/CD pipelines, and production deployment workflows

Nice to have

• Experience working with both traditional machine learning systems and contemporary LLM or agentic applications
• Excellent judgment about when agent-based approaches are appropriate—and when a simpler solution is more effective
• Experience making AI behavior measurable, observable, explainable, and safe in production
• Experience optimizing inference systems for performance, infrastructure efficiency, and operating cost
• A history of guiding engineers or heading cross-departmental technical projects

We offer

• Full-time employment
• Commitment to fostering a diverse work environment and proud to be an equal opportunity employer