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. deepset AI Platform (formerly known as 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 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.
Act as a dedicated technical subject matter expert (SME) and trusted advisor for our largest customer’s on-premise and cloud-based implementations, ensuring seamless integration of Haystack and deepset AI Platform into customer ecosystems.
Provide on-site (or remote) support, troubleshooting, and guidance for deployments, integrations, and performance optimisation.
Collaborate with customer engineering, product, DevOps and delivery teams to ensure smooth adoption and usage of the product; including project management of Customer and deepset resources.
Deliver workshops, technical enablement, and best-practice documentation to upskill the customer’s technical teams.
Work closely with internal teams (Customer Success, Professional Services, Support, and Product) to escalate and resolve technical issues.
Help drive customer adoption, retention, and expansion through technical excellence, strategic guidance, training, enablement and hackathons.
Provide deepset and AI COE (Center of Excellence) setup and governance guidance
Proven experience in AI, NLP, ML engineering, or technical customer-facing roles (e.g., Solution Architect, ML Engineer, NLP Engineer).
Demonstrable experience leading end-to-end projects, with strong Project Management principlesYou’ll play a key role in the success of deepset AI Platform, our SaaS platform for Large Language Model (LLM) applications, empowering users to build their own LLM-powered features.
You'll join our cross-functional Product team, and work closely with Product, Design and other engineers.
You’ll contribute to building a cutting-edge AI platform capable of handling high data volumes, enabling users to deploy scalable AI applications that manage large-scale traffic efficiently..
Expertise in NLP, LLMs, and retrieval-augmented generation (RAG) architectures.
Strong experience with Haystack, deepset Cloud, Elasticsearch, OpenSearch, or similar search technologies.
Proficiency in Python, APIs, and containerization (Docker, Kubernetes).
Experience with cloud platforms (AWS, GCP, Azure) and deploying ML models in production.
Experience with On Premise (bare metal and VPC) deployments.
Ability to work with LLMs and fine-tune models for domain-specific applications.
Experience with integrating AI solutions with enterprise IT architectures.
Excellent communication skills with the ability to explain complex AI concepts to technical and non-technical stakeholders.
Ability to work independently within a customer’s environment while collaborating with deepset’s internal teams.
“I got to see the challenge of identifying use cases for AI and building and evaluating an LLM-based application first hand in my previous role. As a result, deepset’s mission to empower teams to leverage this transformational technology deeply resonated with me.AI is one of the biggest innovations in technology that we have seen since the Internet. Having a chance to work and learn from a company that is at the heart of the ecosystem and has been accumulating expertise in this space since 2018 was an opportunity that I had to jump on!I am super excited to have joined this incredibly talented team!” (Eliza, Product Manager)
"deepset enables me to work with extremely talented and like-minded people on the tech I’m passionate about. It is just outstanding to find such a well-organized and yet creativity-encouraging environment. Seeing everyone is dedicated to the bone to pushing this thrilling technology to its limits puts the cherry on top. Needless to say: I'm proud to be part of deepset!” (Thomas, Senior NLP Engineer)