deepset is the creator of the open-source Haystack AI orchestration framework and the Haystack Enterprise Platform. We help organizations build, run, and govern custom AI agents and retrieval-augmented generation (RAG) applications across cloud and on-premise environments.
Teams start with Haystack to build immediately, add optional enterprise support through Haystack Enterprise Starter, and scale with the Haystack Enterprise Platform, which provides tooling for advanced indexing and retrieval, testing and evaluation, and governance for production AI.
Haystack is trusted in production by enterprise teams and organizations including the European Commission, The Economist, Airbus, and the German Armed Forces.
Rating Reviews
Rating is calculated based on
3
reviews and is evolving.
Pros: The remote-first policy and flexible working hours are fantastic, making it easy to manage personal commitments alongside professional ones. As a Software Engineer in the AI/Machine Learning industry, I get to work on exciting, open-source NLP projects with the Haystack framework. The team is collaborative, and there's a strong emphasis on learning and career growth within the company culture.
Cons: Sometimes the workload for an NLP software company can be intense during critical project deadlines, requiring careful prioritization. Also, while leadership is generally good, more transparent communication regarding longer-term strategic shifts would be beneficial to keep everyone aligned across the distributed team.
Advice to Management: Continue to prioritize and support the remote-first and flexible work culture, as it's a major asset. Focus on improving communication pathways for strategic decisions to ensure all employees feel connected and informed about the company's direction.
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Pros: The team at deepset is incredibly smart and passionate about AI, especially Natural Language Processing. It's a fantastic environment for learning and contributing to cutting-edge open-source projects like Haystack. The company culture values innovation and collaboration, and management is generally supportive. The remote-first setup is a huge plus for work-life balance.
Cons: While the team is great, sometimes communication across different remote teams can be a bit challenging. Scaling some internal processes to match rapid growth is also an ongoing effort. More structured career progression paths could also be beneficial as the company evolves within the competitive AI software sector.
Advice to Management: Continue fostering the collaborative and innovative spirit. Consider implementing more formal mentorship programs and clearer career ladder frameworks to support employee development as the company scales.
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Pros: The core mission around open-source AI, specifically with the Haystack framework, is genuinely exciting and keeps the work interesting. Being in Brussels offers a good quality of life. The company fosters a culture where learning and sharing knowledge, especially about natural language processing and machine learning, is encouraged. The flexibility in how and where we work is a major plus.
Cons: Sometimes the pace of development can lead to a feeling of being spread a bit thin. Documentation for internal processes could be more robust. Career progression paths aren't always crystal clear, making it feel like you have to forge your own way quite actively, which can be daunting for some.
Advice to Management: Consider implementing more defined career ladders and mentorship programs. Investing in clearer internal process documentation would also streamline onboarding and day-to-day operations for the engineering teams.
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Common Questions About
deepset, makers of Haystack
What's it like working at deepset on NLP projects?
Working at deepset, a growing tech company in Berlin, on their Haystack framework for enterprise AI has been incredibly rewarding. I get to contribute to cutting-edge open-source NLP solutions daily.
What's the working culture like at deepset, the AI company behind Haystack?
Working at deepset, a medium-sized AI and NLP company in Berlin, felt very collaborative. There's a strong focus on learning and sharing knowledge, which I really appreciated during my time there.
What is the day-to-day work environment like at deepset, especially for remote AI engineers?
The culture at deepset is collaborative and research-driven, even for remote team members. We utilize tools like Slack and regular virtual meetups to foster connection and knowledge sharing, ensuring that remote AI engineers feel integrated and supported in their work on NLP solutions.
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