AI Platform Engineer

Andersen is hiring an AI Platform Engineer to enhance a secure cloud-based platform by building scalable AI infrastructure, orchestration, and observability for reliable, intelligent performance. The customer is an international company delivering professional and technology-enabled solutions that support effective collaboration, structured communication, and operational efficiency for organizations. It operates in a fast-growing environment, focusing on scalability, security, and continuous improvement while developing digital platforms used by diverse clients worldwide. The project is focused on enhancing a secure, cloud-based board management platform with intuitive meeting tools, real-time collaboration, and advanced analytics. It also includes building and maintaining scalable AI infrastructure, orchestration patterns, and observability to ensure reliable and intelligent platform performance. Responsibilities: Implementing multi-agent orchestration and tool-calling patterns. Building observability infrastructure (tracing, logging, cost tracking). Establishing API gateway patterns and runtime consistency. Designing failure handling, retry logic, and context routing. Enforcing tool schema standards across teams. Documenting and evangelizing platform patterns. Must-have: Experience as an AI Platform Engineer, LLM Infrastructure Engineer or in a similar role for 4+ years. Solid experience working with LLM system architecture and infrastructure, including multi‑agent orchestration and tool‑calling. Practical experience with LLM frameworks (e.g., LangChain, LlamaIndex, Semantic Kernel, or equivalents). Knowledge of major cloud platforms (Azure/AWS/GCP) and distributed systems services. Experience with logging, metrics, and tracing tools: OpenTelemetry, Prometheus, Grafana, Elastic, Datadog. Strong proficiency in Python or another commonly used ML/infrastructure language. Good understanding of API design principles (REST, gRPC), JSON Schema, and OpenAPI specifications. Hands‑on experience implementing agent orchestration patterns and tool invocation in high‑load AI environments. Level of English – from Upper-Intermediate and above. Nice to have: Proven ability to build observability infrastructure, including distributed tracing, logging, metrics, and cost tracking. Experience designing and implementing API gateway patterns: request routing, version control, unified responses, and runtime consistency. Strong understanding of resilience mechanisms such as error handling, retry logic, fallback strategies, and context routing. Experience establishing and enforcing tool schema standards across cross‑functional teams. Ability to document technical solutions and promote architectural patterns across the organization. Reasons why this job would be interesting to you: Experience in teamwork with leaders in FinTech, Healthcare, Retail, Telecom, and others. Andersen cooperates with such businesses as Samsung, Siemens, Johnson & Johnson, BNP Paribas, Ryanair, Mercedes, TUI, Verivox, Allianz, T-Systems, etc.. The opportunity to change the project and/or develop expertise in an interesting business domain. Job conditions – you can work both fully remotely and from the office or can choose a hybrid variant. Guarantee of professional, financial, and career growth! The company has introduced systems of mentoring and adaptation for each new employee. The opportunity to earn an additional up to 1,000 USD per month by participating in the company's activities. Access to the corporate training portal, where the entire knowledge base of the company is collected and which is constantly updated. Bright corporate life (parties / pizza days / PlayStation / fruits / coffee / snacks / movies). Certification compensation (AWS, PMP, etc). Referral program. English courses. Private health insurance and compensation for sports activities. Join us! Your personal data is protected in accordance with GDPR regulations. Learn more: https://andersenlab.com/privacy-policy/pl https://people.andersenlab.com/