AI Engineer, GlassFlow

Salary not provided

Offers Stock Option Grant

Python

Junior, Mid and Senior level

Berlin

1+ day a week in office

Real-time, serverless python data streaming

Be an early applicant

Real-time, serverless python data streaming

1-20 employees

B2BBig dataSaaSCloud Computing

Be an early applicant

Salary not provided

Offers Stock Option Grant

Python

Junior, Mid and Senior level

Berlin

1+ day a week in office

1-20 employees

B2BBig dataSaaSCloud Computing

Company mission

To democratise real-time data processing, helping organisations of all sizes and Python engineers from diverse backgrounds to unlock the full potential of streaming data.

Job

Company

Role

Who you are

Strong software-engineering skills and experience building production systems
Practical experience working with LLMs, agents, retrieval systems, or applied machine learning
Proficiency in Python and familiarity with modern backend and data infrastructure
A solid understanding of embeddings, vector search, retrieval-augmented generation, evaluation, and prompting
An experimental mindset: you form hypotheses, build prototypes, measure results, and iterate quickly
The ability to navigate ambiguous problems and turn research ideas into reliable product capabilities
Strong product judgment and an interest in how people actually use AI systems
Clear written and verbal communication in English
Willing to work at least once a week in our Berlin office

What the job involves

Design and build memory systems for AI agents
Improve retrieval, ranking, context assembly, and long-term memory
Develop systems for entity resolution, temporal reasoning, provenance, and knowledge representation
Build agent capabilities that combine reasoning with reliable tool use
Design evaluations for retrieval quality, agent behavior, and end-to-end task performance
Investigate failures using traces, datasets, and production feedback
Experiment with approaches such as semantic search, graph-based retrieval, reranking, trajectory analysis, and selective replay
Ensure agents retrieve and use information according to user permissions and organizational access controls
Improve the reliability, latency, and cost of AI systems in production
Collaborate directly with the founders and broader engineering team on product direction and architecture

Our take

Event-driven architecture that lets businesses detect and act on "events" such as transactions or site visits is invaluable in terms of agility and scalability. That said, the maintenance and administration of such systems pose significant challenges, with legacy tools taking months of time and dedicated teams to employ.

Introducing Glassflow, a Berlin-based startup that aims to simplify and enhance the event-driven data pipeline development process. It offers an adaptable solution that scales automatically to meet the performance needs of pipelines, delivering a bottom-up approach that marks a departure from the traditional top-down solutions.

Significant funding underscores the recognition of its potential by the industry. With its 2024 investment, GlassFlow is expanding its platform's capabilities.

Freddie

Company Specialist at Welcome to the Jungle

Company

Funding (2 rounds)

Oct 2024

$5.1m

EARLY VC

Nov 2023

$1.1m

SEED

Total funding: $6.2m

Company benefits

Company stock options
Flexible working hours
Public transportation benefits

Company HQ

Mitte, Berlin, Germany

Leadership

Armend Avdijaj

(Co-Founder & CEO)

Previously co-founded Sponsokit where they served as the CEO for over 7 years. Prior to this they were an Analytics Manager at Mister Spex, a Business Analyst at German Expansion and a Marketing Controller at Falcon Internet.

Ashish Bagri

(Co-Founder & CTO)

Previously co-founded rvolt where they served as CTO for almost 2 years. They also served as the CTO at Sponsokit. Prior to this they held several Data Scientist roles at CrossEngage, Rocket Internet, LYKE, and Sociomantic Labs.

Salary benchmarks

We don't have enough data yet to provide salary benchmarks for this role.

Submit your salary to help other candidates with crowdsourced salary estimates.

Share this job

View 2 more jobs at GlassFlow