Machine Learning Engineer

We're hiring on behalf of a Haystack partner!

The Role

• Build, operate, and continuously develop an AI-based knowledge platform, serving as the technological core for an AI Factory, ensuring reliable, performant, and cost-efficient LLM services in production.

• Design and implement Retrieval-Augmented Generation (RAG) pipelines for real-world product use cases, covering document ingestion, indexing, retrieval, context preparation, and generative responses.

• Construct, operate, and optimize vector databases and search infrastructures, ensuring clean data models, relevance, low latency, and robust monitoring.

• Select, tune, and orchestrate embedding models and LLMs, managing their lifecycle and implementing AI workflows using frameworks like LangChain or LlamaIndex.

• Shape architectural decisions, evaluation frameworks, and technical standards in collaboration with AI/ML engineering, application teams, and business units, integrating relevant Generative AI/LLM ecosystem developments.

What You'll Need

• Several years of experience building and operating RAG systems, search infrastructures, or knowledge-based platforms, ideally in a regulated or mission-critical environment.

• A completed degree in Computer Science, Data Science, Computational Linguistics, Mathematics, or a comparable field, with a strong commitment to scientific and technical excellence.

• Deep understanding of vector databases, embeddings, retrieval strategies, and LLM integration, with proven experience in building production-ready solutions.

• Proficiency with cloud-based AI platforms (preferably Azure AI) and orchestration frameworks like LangChain, including monitoring, security, performance, and cost optimization.

• A strong ownership mindset, excellent analytical and communication skills, and a passion for interdisciplinary collaboration to transform knowledge utilization in healthcare.

What's On Offer

• Competitive salary

• Opportunities for continuous learning and professional development through tailored training programs.

• Access to wellness facilities, including a modern gym and sports courses, to promote a healthy work-life balance.

• Support for work-life integration, including flexible working arrangements and on-site childcare options.

Apply via Haystack today!