[Hiring] Senior Solution Engineer @deepset

Role Description

As a Solution Engineer at deepset, you will apply cutting-edge NLP techniques to real-world enterprise problems. You will develop deep expertise across the full spectrum of NLP methods within Haystack including:

• Dense retrieval
• Question Answering
• Generative QA
• Summarization
• RAG pipelines

You will collaborate closely with our open-source and product teams to shape the best solutions for each engagement. This role sits at the intersection of professional services consultant, senior AI/NLP engineer, and trusted technical advisor.

Exemplary engagement: You will partner with data scientists from a leading aerospace corporation to enhance search functionality across pilot manuals. This means:

• Understanding their data and domain
• Evaluating methods (DPR, QA, TableQA) against their requirements
• Designing annotation workflows for expert labellers
• Continuously analysing incoming labels
• Training and iterating models
• Driving step-by-step performance improvements until production targets are met

Qualifications

• Fluency in German (C1/C2 or native) and strong professional English
• 5+ years of industry experience applying data science or NLP methods to real-world data
• University degree in Computer Science or a comparable qualification
• Proficiency in Python and strong working knowledge of ML/DL/NLP methods and recent model architectures (Transformers, LLMs, retrieval models)
• Hands-on experience with Haystack, Hugging Face Transformers, PEFT, or comparable NLP frameworks
• Experience managing customer-facing projects: defining scope, setting timelines, communicating results
• Excellent communication skills with both technical (data scientist, ML engineer) and non-technical (business, C-suite) stakeholders
• An intense desire to learn and a track record of rapidly acquiring new skills

Requirements

• Data science consulting experience and/or hands-on experience with data annotation workflows (nice to have)
• Experience with deepset Cloud or other enterprise NLP/search platforms (nice to have)
• Familiarity with dense retrieval (DPR), Question Answering, generative QA, TableQA, and Summarization methods (nice to have)
• Understanding of RAG architectures and vector databases (e.g. Weaviate, Pinecone, OpenSearch) (nice to have)
• Experience with model fine-tuning via PEFT (LoRA, QLoRA) and large-scale data curation (nice to have)
• Contributions to open-source NLP libraries or a public technical profile (blog, talks, GitHub) (nice to have)
• Aspiration to grow into a senior expert or team lead position as the Solutions team scales (nice to have)

Benefits

• Competitive salary + equity (ESOP). We benchmark against above European AI companies.
• Remote-first culture with optional access to Munich and Berlin offices. Flexible working hours.
• Work on the frontier of enterprise AI. Your solutions will go into production at household-name companies.
• Learning budget, conference attendance, access to the best minds in open-source NLP and LLMs.
• Transparent, low-ego team. English as the working language, diverse and international colleagues.
• 30 days PTO, company offsites, home office setup budget, and more.