As a Solution Engineer at deepset, you'll play a crucial role in developing innovative AI-driven solutions to address significant business challenges. You'll join an inclusive team of experts passionate about creating a platform that empowers product teams and data scientists to build LLM applications.

We are an AI startup that empowers developers to build applications that use natural language as the interface to data. Our open-source framework Haystack is used by thousands of developers to build LLM applications. Our LLM platform, deepset Cloud, enables enterprises worldwide to unlock the potential of large language models for their business cases. Come join our team and work with tech experts on real-world cases, in a fast-paced and high-impact environment, and shape the AI space together with us.

At deepset you will find an environment ​with equal opportunities to grow, share ideas, build relationships, and succeed. We believe every employee is important and generates a direct impact on our team’s success.

We are certified by Flexa® Careers as a flexible employer, and our remote first culture is designed to provide work-life balance, autonomy, and flexibility.

Our daily meetings, the quarterly in person "re:base", and the social events allow us to work with great synergy. We would like to invite you to visit our life page to learn more about our culture.

You'll collaborate closely with the sales team, by supporting Sales Engineers and prospects with use cases and troubleshooting during the Proof of Concept (POC) phase.

You'll consult clients on their product journey, assisting with the integration of our product within their organization, developing new product features (such as Haystack components), and providing technical services, like model fine-tuning.

Your goal is to ensure client satisfaction and success, making sure clients thrive with our product. You'll be the primary point of contact for clients facing technical issues, helping them resolve problems and reporting bugs to our development team.

Additionally, you'll provide technical and business insights to Product Management based on your interactions with clients.

• Customer-Centric Approach: experience in working and communicating effectively with external clients, and managing external-facing projects. You should be adept at tailoring your communication style to cater to the unique needs of various clients, including both technical and non-technical stakeholders.
• Consulting Skills: experience in guiding clients in their AI product journey, in leading projects, and in assisting with the technical setup of products.
• Problem-Solving: an ability to think on your feet, troubleshoot technical issues, and provide creative solutions is crucial. You should be a resourceful, and pragmatic problem-solver.
• Language requirements: English, both Written and Verbal
• Technical Proficiency:

1. Essential:

• Solid experience using Python, especially for scripting.
• Hands-on experience in NLP and Data Science, including model fine-tuning, data preprocessing, and other data science tasks.
• Familiarity with current AI research, RAG, semantic search, and large language models

    2. Nice-to-have:

• Familiarity with our open-source framework Haystack, PyTorch, HuggingFace, Llamaindex or Langchain
• Experience in designing and implementing information retrieval systems using embeddings (e.g., MiniLM), vector stores (e.g., Faiss, PineCone, Vespa), or similarity match & ranking techniques.
• Familiarity with search databases such as OpenSearch and ElasticSearch.

• Remote-first: You can choose to work from home or any other workspace that suits you. We offer home office setup (equipment and furniture), and we would be happy to sponsor a coworking spot.
• Grow: Personal and professional growth are important to us. We have an annual learning and development budget, and also the opportunity to speak at conferences, internal knowledge sharing, and workshops.
• Connect: We have a virtual office, a monthly social budget to reconnect virtually or in person, online walks and talks with colleagues from other teams, and a flexible travel policy that enables you to meet colleagues in person for special occasions.
• Re:base: We meet in person on a quarterly basis, because we believe it’s important to get to know each other. We have fruitful discussions, we hold workshops, we brainstorm together, and we have leisure activities and fun.
• You are an owner: All employees are enrolled in the employee stock option plan and own a part of the company.
• Personal time off: If you want to recharge and travel the world - there are 30 days of paid vacation.
• Choose your tech: The choice is yours among our pre-selected options, and we will provide what you need.
• Pension fund and Health Insurance fitting with your main working location: All full-time employees are eligible for the pension plan. We also offer health, dental, and vision for employees in the US, in compliance with the local market.
• Travel Insurance: We want you to be secure during your travels. Therefore, we offer every employee additional travel insurance.
• Sports budget: To boost your health and well-being, we offer a monthly allowance for your sports activity.
• Oliva - employee mental wellbeing benefit: To boost your well-being, we offer a benefit that helps you to respond to pivotal moments at work and beyond.
• Dog-friendly: Our main co-working partner Mindspace welcomes dogs, so you can also bring your best friend to the office.
• Enhanced days off for Family Sick Leave: We offer additional days in case your child gets sick.
• Additional days off: We don't work on the 24th & the 31st of December.
• Flexible working hours: You can adapt your work to your private life.

• “Like many others, I learned about deepset through the German Bert model. I'm proud to be part of a truly cutting-edge NLP company and excited to enable others to utilize our technology.” (Miriam, Team Lead Solution Engineering)
• “I joined deepset because I'm excited by the transformational opportunities that AI presents to businesses across all industries. Their commitment to fostering adoption in a technology-agnostic manner aligns with my vision for the future of AI, and ultimately, I'm excited to be a part of a team that shares these values.” (Blake Yu, Director of Sales Europe)