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! 

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