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Urgent! Senior AI Engineer – RAG & Search Optimization (m/w/d) Job Opening In Garching – Now Hiring Westhouse Group

Senior AI Engineer – RAG & Search Optimization (m/w/d)



Job description

Westhouse ist eines der führenden internationalen Recruitment Unternehmen für die Vermittlung von hochqualifizierten Fachexperten in Bereichen wie IT Life Cycle, SAP, Engineering, Kaufmännischem und Fachberatung.

Für unseren Kunden suchen wir aktuell eine/n Senior AI Engineer – RAG & Search Optimization (m/w/d) - Remote.

Ihre Aufgaben

  • As document retrieval specialist, you will be the driving force behind the accuracy and relevance of the AI's responses.

    Your primary mission is to optimize our complex, multi-step retrieval pipeline.
  • Optimize the Retriever: Dive deep into our multi-step retriever, fine-tuning the interplay between Reciprocal Rank Fusion (RRF) for similarity search and BM25 for keyword relevance in OpenSearch.
  • Build an Evaluation Framework: Design and implement a robust testing suite for our conversational search from the ground up.

    Your framework will be the source of truth for measuring precision, recall, and other key relevance metrics.
  • Develop Test Data: Curate and create high-quality, domain-specific test datasets to rigorously benchmark and validate retriever performance.
  • Enhance the Ingestion Pipeline: Analyze and improve our complex document ingestion process to ensure data is indexed effectively for optimal retrieval.
  • Collaborate and Innovate: Work in a dynamic environment, responding to ad-hoc requests and proactively identifying opportunities to improve our system, potentially by introducing advanced techniques like rerankers.
  • Interessiert?

    Nicole Biyik (geb.

    Wisniewski)

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    Ihre Qualifikationen

  • Expert-Level JavaScript/TypeScript: Proven experience building and maintaining production systems with NestJS.
  • RAG & Search Experience: Demonstrable, hands-on experience building or optimizing RAG pipelines.

    You must be comfortable with the theory and practice of hybrid search.
  • OpenSearch Proficiency: Strong practical knowledge of OpenSearch (or Elasticsearch), including query DSL, indexing strategies, and performance tuning for search relevance.
  • AI/ML Fundamentals: A solid grasp of core AI concepts, particularly in NLP, vector embeddings, and search evaluation metrics (precision, recall, etc.).
  • Pragmatic & Proactive Mindset: You thrive in a fast-paced environment, are comfortable with ambiguity, and can take initiative to build solutions from scratch.
  • Hands-on experience with AI orchestration frameworks like LangGraph (nice to have)
  • Familiarity with advanced retrieval techniques, such as implementing rerankers (e.g. cross-encoders) (Nice to have)
  • Direct experience with BM25 and fusion methods like RRF (Nice to have)

  • Required Skill Profession

    Computer Occupations



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