Senior Backend AI Engineer (Python)

About the Position

We are looking for a Senior Backend AI Engineer (Python) to join our team. Our customer is developing an AI-powered platform that helps organizations accelerate innovation through advanced artificial intelligence, secure infrastructure, and modern backend engineering.

Responsibilities

• Design, develop, and maintain scalable backend services, APIs, and system architecture for AI-powered applications.
• Take full ownership of features throughout the entire development lifecycle, from technical design and architecture to implementation, deployment, monitoring, and continuous improvement.
• Transform AI concepts, Large Language Model (LLM) capabilities, and intelligent agent designs into reliable, production-ready backend systems.
• Design and implement AI reasoning workflows, agent orchestration, and integrations with enterprise services, external platforms, and internal data sources.
• Build, maintain, and optimize CI/CD pipelines across cloud and secure private deployment environments.
• Ensure software quality through engineering best practices, self-review, automated testing, observability, and continuous improvement.
• Integrate LLMs into enterprise applications while ensuring security, scalability, and reliable production performance.
• Contribute to infrastructure design for secure AI deployments, including private, on-premises, and self-hosted environments.
• Collaborate closely with AI engineers, QA specialists, and cross-functional teams to deliver robust, production-grade AI solutions.
• Work independently with a high level of ownership while contributing to collaborative engineering initiatives and continuously raising technical standards.

Requirements

• 6+ years of experience as a Backend or Systems Engineer with strong expertise in backend architecture and system design.
• Hands-on experience building and deploying production-grade LLM applications or AI agent solutions.
• Strong experience designing and developing APIs, backend services, distributed systems, and scalable application architectures.
• Experience working with relational and/or NoSQL databases in production environments.
• Strong understanding of system reliability, scalability, observability, and performance optimization.
• Experience building and maintaining CI/CD pipelines and modern software delivery workflows.
• Experience working with Google Cloud Platform (GCP) and deploying cloud-native applications.
• Familiarity with secure private infrastructure, on-premises deployments, or hybrid cloud environments.
• Strong understanding of application security, API security, data protection, and privacy best practices.
• Proven ability to independently own technical solutions from architecture and implementation through production deployment and ongoing support.
• Experience collaborating effectively with AI engineers, QA teams, and cross-functional engineering teams in Agile environments.
• Excellent problem-solving, communication, and technical documentation skills.
• Fluent English.

Nice to Have

• Experience working with open-weight or self-hosted AI models.
• Experience designing infrastructure for private AI deployments, including compute and operational considerations.
• Knowledge of knowledge graphs or graph-based data modeling.
• Background in algorithmic problem-solving or data science.
• Experience building personal software projects or contributing to open-source initiatives.

Working Conditions

• 5-day working week
• 8-hour working day
• Remote work

About the Company

Our customer is developing an AI-powered platform that helps organizations accelerate innovation through advanced artificial intelligence, secure infrastructure, and modern backend engineering. The team builds scalable, production-grade AI solutions designed to operate across cloud and private environments while maintaining high standards of security, reliability, and performance.