Senior Solution Engineer

About the role

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, and more and use deepset Cloud, our SaaS platform, to streamline workflows and transform customer data into actionable intelligence. This role sits at the intersection of professional services consultant, senior AI/NLP engineer, and trusted technical advisor.

What you'll do

• Show customers how to search for and extract information using Haystack and deepset Cloud, growing NLP awareness within their organisation
• Understand each customer's domain data, use case, needs, and processes to craft the optimal solution and drive improvements to Haystack/deepset Cloud
• Be the outward face to the customer: communicate to define goals and timelines, and report results throughout the engagement
• Rapidly prototype cutting-edge NLP methods — dense retrieval (DPR), Question Answering, generative QA, TableQA, Summarization — and evaluate them against real customer data
• Lead end-to-end technical delivery of AI solutions using Haystack, PEFT, Hugging Face Transformers, and deepset Cloud
• Design annotation workflows for expert labellers and continuously analyse incoming labels to drive model improvement
• Train and fine-tune large language models through large-scale data curation and optimisation to meet production performance targets
• Partner directly with customer data scientists and engineering teams, guiding them from prototype through to production

What you'll need

• Fluency in German (C1/C2 or native) and strong professional English — you will operate in both languages daily
• 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

Nice to have

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

What they offer

• Competitive salary + equity (ESOP), benchmarked against above European AI companies
• Remote-first culture with optional access to Munich and Berlin offices
• Learning budget, conference attendance, access to the best minds in open-source NLP and LLMs
• 30 days PTO, company offsites, home office setup budget