Senior RAG / Retrieval Engineer

DAiNA Inc.; Berlin; Hybrid; EUR 90.000 - 130.000; Vollzeit

Benefits dieser Stelle

Bonus program

Development budget

Hybrid work model

Health insurance

Zusammenfassung

DAiNA is seeking a Senior RAG / Retrieval Engineer to design and build the retrieval layer supporting its AI-driven analysis and clinical reporting. You will develop advanced patterns using hybrid search, embeddings, vector databases, grounding and citation handling to ensure accuracy and auditable outputs.

You will collaborate with AI/ML, bioinformatics, data engineering and clinical teams, prototype models, evaluate retrieval quality, and hand over production-ready patterns for secure

Qualifikationen

• Experience with RAG and retrieval systems.
• Strong Python programming skills.
• Hands-on with vector databases and embeddings.
• Knowledge of grounding and citation handling to reduce hallucinations.
• Ability to measure retrieval quality with benchmarks and regression tests.
• Experience handling synthetic/public/de-identified data in sensitive environments.
• Effective communication with engineering, ML and clinical stakeholders.

Aufgaben

• Design advanced retrieval systems using hybrid search, embeddings, vector databases and grounding.
• Build reusable RAG patterns for AI/ML and reporting workflows.
• Develop evaluation harnesses for retrieval quality, grounding and citation accuracy.
• Prototype and benchmark open-weight embedding and generation models.
• Improve document ingestion, metadata handling, chunking and knowledge retrieval.
• Collaborate with AI/ML, bioinformatics, data and clinical teams to support real-use cases.
• Handover tested retrieval patterns and implementation guidance for deployment.

Kenntnisse

RAG retrieval systems

Python

Vector databases

Grounding & citation handling

Benchmarking & regression testing

Data privacy in sensitive environments

Stakeholder communication

Jobbeschreibung

Type: Permanent (Full-time)

Start Date: As soon as possible / by arrangement

ABOUT DAINA

DAiNA is a precision-oncology company focused on enabling personalized cancer treatment for individual patients. We combine comprehensive molecular tumor data including genomics, transcriptomics (bulk, single cell and spatial), proteomics and epigenetics, with AI-driven analysis. Our platform connects multi-omic profiling with functional ex-vivo tumor models and personalized liquid-biopsy monitoring, creating a continuous workflow from biopsy and treatment selection through to therapy monitoring and adaptation. We also operate GMP manufacturing to produce individualized N=1 therapeutics. In short, we help physicians make more informed, personalized treatment decisions based on high-dimensional molecular tumor data.

For more information, visit: www.daina.com

THE ROLE

As Senior RAG / Retrieval Engineer, you will design and build the retrieval layer that makes DAiNA's AI-supported analysis and reporting reliable, grounded and auditable.

You will develop advanced RAG patterns using hybrid search, embeddings, vector databases, re-ranking, chunking, grounding and citation handling. Your work will support biomedical knowledge retrieval, molecular interpretation, clinical reporting and internal decision-support workflows.

A key focus is to ensure that retrieved information is accurate, traceable and suitable for sensitive scientific and clinical use cases. You will work closely with AI/ML, bioinformatics, data engineering and clinical teams to support trustworthy, evidence-grounded outputs for DAiNA's precision-oncology platform.

WHAT YOU'LL DO

• Design advanced retrieval systems using hybrid search, embeddings, vector databases, re-ranking, chunking and grounding.
• Build reusable RAG patterns for DAiNA's AI/ML and reporting workflows.
• Develop evaluation harnesses for retrieval quality, factual grounding, citation accuracy and regression testing.
• Prototype and benchmark open-weight embedding and generation models.
• Improve strategies for document ingestion, metadata handling, chunking and knowledge retrieval.
• Work closely with AI/ML, bioinformatics, data and clinical teams to ensure retrieval supports real DAiNA use cases.
• Hand over tested retrieval patterns and implementation guidance for secure operational deployment.

WHAT YOU BRING

• Deep hands-on experience with RAG, retrieval systems and evaluation.
• Strong Python skills and experience building production-grade AI/ML components.
• Practical experience with vector databases, embeddings, hybrid search, re-ranking and RAG frameworks.
• Strong understanding of grounding, citation handling and hallucination reduction.
• Experience measuring retrieval quality rigorously through benchmarks, test sets and regression testing.
• Ability to work with synthetic, public or de-identified datasets when designing systems for sensitive-data environments.
• Clear communication with engineering, AI/ML and scientific stakeholders.

NICE TO HAVE

• Experience with evaluation tools such as Ragas, DeepEval or similar frameworks.
• Experience with knowledge graphs, semantic search, hybrid information retrieval or biomedical ontologies.
• Background in healthcare, biotech, pharma, diagnostics or another regulated environment.
• Familiarity with biomedical literature, clinical reports, omics data or treatment guidelines.
• Experience designing RAG systems for data residency, privacy or compliance constraints.

WHY DAINA

• Employer contributions toward private health insurance or supplementary health coverage, as well as pension or retirement savings.
• Hybrid model with ~60% of working time expected on-site and the rest remotely, depending on team and business needs.
• Performance-based bonus opportunity, depending on company and individual performance.
• A personal development budget for conferences, courses, certifications, and training.
• The opportunity to work directly on real patient cases and help shape a first-in-class precision-oncology platform
• A proactive, collaborative team with fast decision-making and strong ownership of your domain.

DAiNA is an equal-opportunity employer. We welcome applicants of every background and assess every candidate on merit, regardless of age, gender, ethnicity, religion, disability, sexual orientation or origin. If you need any adjustment to the process, let us know in your application.