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Senior AI/ML Engineer

Joinhyra — Germany · Posted ~1 day ago

Senior

Skills

AI/ML LLMs RAG vector databases search infrastructure embedding models AI workflow orchestration AI architecture evaluation frameworks

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Summary

A leading international healthcare technology organization is seeking a Senior AI/ML Engineer to build and evolve production-grade AI platforms. You will design RAG pipelines, optimize vector databases and search systems, orchestrate AI workflows, manage embedding and language model lifecycles, and establish architecture and evaluation standards for scalable real-world applications.

Highlights

Drive next-generation AI platforms in a mission-oriented healthcare environment. The role offers ownership of production-grade LLM infrastructure, end-to-end RAG systems, vector search, model lifecycle management, architectural standards, and evaluation frameworks with global impact.

Description

Senior AI/ML Engineer A leading international health-tech organisation is looking for a technical expert to join their innovation team. The successful candidate will drive the development of next-generation AI platforms to improve global healthcare delivery. This role focuses on translating advanced technological concepts into scalable, value-driven solutions within a dynamic and mission-oriented environment. What you'll be doing • Building and evolving a production-grade AI knowledge platform to ensure reliable and cost-effective LLM services. • Designing and implementing end-to-end Retrieval-Augmented Generation (RAG) pipelines for real-world product use cases. • Managing and optimising vector databases and search infrastructures to ensure low latency and high data relevance. • Orchestrating AI workflows and managing the lifecycle of embedding models and large language models. • Defining architectural standards and evaluation frameworks in collaboration with cross-functional engineering teams. What we're looking for • Extensive experience building and operating RAG systems and search infrastructures in enterprise environments. • A degree in Computer Science, Data Science, Computational Linguistics, or a related technical field. • Proficiency in AI orchestration frameworks such as LangChain or LlamaIndex and experience with vector databases. • Strong understanding of data modelling, indexing strategies, and performance monitoring for generative AI applications. • Ability to work effectively in a regulated environment where compliance and system robustness are critical. What's on offer • Remote work flexibility • Opportunity to work on mission-driven technology that impacts global health • Access to a dynamic innovation hub and modern AI factory environment • Professional development within a large-scale international software organisation Apply via Hyra to be considered for this opportunity.