Senior Backend Engineer, deepset
+ Employee stock option
Open source NLP framework
Open for applications
Open source NLP framework
21-100 employees
Open for applications
+ Employee stock option
21-100 employees
Company mission
To empower developers to make Natural Language Processing (NLP) part of any application in any enterprise.
Role
Who you are
- 5+ years of experience in backend development with proficiency in Python, ideally with experience in early-stage product development or working in growth/startup environments
- Expertise in building and managing REST APIs, SQL databases, CI/CD pipelines, Kubernetes, and cloud services. Familiarity with Infrastructure-as-Code tools (e.g. Terraform or Crossplane) is a plus
- A strong commitment to delivering well-tested, maintainable, and observable code
- Strong problem-solving skills with the ability to quickly troubleshoot and prioritize issues, especially in high-pressure situations or when working with code from other teams
- Confidence in managing customer-facing challenges, with the ability to handle critical incidents effectively
- Proactive and results-oriented, with the ability to contribute constructively and align with team decisions
What the job involves
- You’ll play a key role in the success of deepset Cloud, 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
- Design and build an AI platform that empowers customers to solve real business challenges using state-of-the-art technology and customer-driven insights
- Develop scalable infrastructure to support thousands of LLM applications processing millions of documents, with the ability to handle 100s of user requests per second on our SaaS platform powered by Haystack, our open-source library
- Own features end-to-end, from ideation to production. This includes product and architecture design, CI/CD pipelines, implementation & testing, production monitoring, and incorporating customer feedback
- Collaborate with our Open Source team to identify opportunities for improving Haystack and contribute enhancements to Haystack
- Engage with infrastructure topics and collaborate with the infrastructure team for support and debugging assistance
- Take on "firefighter" duties, addressing urgent issues with direct customer exposure alongside the Solutions Engineering team. Maintain and enhance debugging processes to ensure system reliability
- Mentor other engineers and help them grow in their careers
Our take
Natural Language Processing (NLP) is at the core of many modern enterprise data processing workflows, from complex data processes to customer service chatbots. However, NLP systems are not one-size-fits-all, and the development and deployment of bespoke NLP systems require the niche and expensive help of programmers with expertise in machine learning and semantic syntax.
Deepset provides an open-source API-driven framework called Haystack for the quick and efficient development of production-ready NLP systems. The company's goal is to make modern NLP as easy as possible to apply in a practical and scalable way, and states major use cases of its API for automated data analysis, customer satisfaction, fraud monitoring, and regulatory actions.
Whilst NLP has been implemented by many enterprises such as Amazon AWS and Microsoft, options for companies without dedicated AI experts have been limited, making deepset's open-source approach highly beneficial to many industries. Lately, the company has invested funding in the development of a SaaS product called deepset Cloud, which will enable users to build complex LLM apps more easily and at "a fraction of the time".
Steph
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 3 rounds)
Aug 2023
$30m
EARLY VC
Apr 2022
$14m
SERIES A
Total funding: $45.6m
Company benefits
- Remote-first - you can choose to work from home or any other workspace that suits you
- Home office budget for equipment and furniture, and we would be happy to sponsor a coworking spot
- Annual learning and development budget
- Opportunity to speak at conferences
- Internal knowledge sharing and workshops
- Virtual office
- Monthly social budget to reconnect virtually or in person
- Online walks and talks with colleagues from other teams
- Flexible travel policy that enables you to meet colleagues in person for special occasions
- Quarterly in-person meet up - we have fruitful discussions, we hold workshops, we brainstorm together, and we have leisure activities and fun
- Employee stock option plan
- 27 days of paid vacation, and you earn an additional day for each year completed with deepset (up to 30 days)
- Choose your tech - Linux, Windows, or macOS? The choice is yours and we will provide what you need
- Pension plans
- Travel insurance
- Monthly allowance for your sports activity
- Dog-friendly - our main co-working partner Mindspace welcomes dogs, so you can bring your best friend to the office
- Enhanced days off for Family Sick Leave
- Additional days off - we don't work on the 24th & the 31st of December
- Flexible working hours
Company HQ
Kreuzberg, Berlin, BE
Leadership
Milos Rusic
(Co-founder & CEO)Experience as Director of Market Development for KONUX from 2016 to 2018.
Malte Pietsch
(Co-founder & CTO)Experience as Data Scientist for plista from 2016 to 2018.
Timo Möller
(Co-founder)Experience as Machine Learning Engineer for plista from 2016 to 2017.
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