Unser Kunde:
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.
Ihre Aufgaben:
- 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.
Erforderliche Erfahrungen und Qualifikationen:
- 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.
Wäre ein Plus:
- 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.
Arbeitsbedingungen
5-Tage-Woche, 8-Stunden-Arbeitstag;
Fernarbeit.