Senior Backend Engineer, Parloa

Evaluations Platform, Python

Salary not provided

+ Competitive compensation + Equity

MongoDB

Docker

Kubernetes

Python

Kafka

Redis

Tensorflow

Terraform

MySQL

Scikit-Learn

PyTorch

FastAPI

Senior and Expert level

Berlin

2-3 days a week in office

Conversational AI platform

Posted today

Conversational AI platform

201-500 employees

B2BArtificial IntelligenceCustomer serviceSaaS

Posted today

Salary not provided

+ Competitive compensation + Equity

MongoDB

Docker

Kubernetes

Python

Kafka

Redis

Tensorflow

Terraform

MySQL

Scikit-Learn

PyTorch

FastAPI

Senior and Expert level

Berlin

2-3 days a week in office

201-500 employees

B2BArtificial IntelligenceCustomer serviceSaaS

Company mission

To help companies create outstanding customer conversations with AI because people deserve great customer service.

Job

Company

Role

Who you are

7+ years of experience as a backend engineer
Experience with highly scalable real-time micro-service architecture
Passion for writing clean and modular code that is easy to maintain, update, test and scale
Experience with version control systems, code review processes, and CI/CD pipelines
Experience with owning the Backend service development process end-to-end: from gathering requirements to design to support and continuous improvement, monitoring and maintenance
Experience in leading medium-sized technical projects (3-9 months roadmap)
Proficiency in Python
Strong spoken and written communication skills in English

Desirable

Some ML experience and a grasp of popular ML libraries and frameworks

What the job involves

As a Senior Backend Engineer (f/m/d)* on the Evaluations Platform team you will collaborate with Engineers, Scientists, and Product, building Parloa’s Evaluations Platform - enabling our customers to simulate agent behavior in custom scenarios and evaluate and monitor AI Agent behavior and performance both in simulations and production
You will be actively involved in improving our tools and processes to support collaboration and productivity as well as in cultivating an environment where we can all learn and grow
Work on our brand new LLM functionality to improve the customer service experience for millions of customers
Execute and lead projects end-to-end, including: collaborating with a product manager to understand user-facing requirements, leading architecture and system design, and non-functional requirements such as security, monitoring, & logging
Design, build, and maintain secure and scalable backend services in Python
Optimize system performance for low latency, high throughput, and reliability
Collaborate across teams to integrate machine learning components into production systems
Lead technical initiatives - design, planning, implementation, and maintenance (3-9 months horizon)
Drive initiatives to improve operational excellence
Contribute to the evolution of our architecture and engineering culture
Our Tech stack:
LLMs: OpenAI and other LLM-as-a-Service providers, Prompt engineering, LLM finetuning
FastAPI, MongoDB, MySQL, Redis, Kafka, Terraform
Docker, Helm, ArgoCD, Kubernetes
Python, TensorFlow, PyTorch, scikit-learn for efficient implementation

Application process

Recruiter video call → Engineering Manager Interview → Live Coding Challenge → Architecture Interview → Bar Raiser Interview

Our take

There is an inherent lack of efficiency in many call centres. This not only creates irritation for customers and negative experiences for agents but, as a result, it harms a company’s reputation whilst generating high costs for businesses.

On a mission to put an end to the madness of a call centre, Berlin-based Parloa offers a conversation AI platform that is changing the way businesses communicate with their customers. Using artificial intelligence, Parloa provides unique solutions for companies that makes their specific service smarter.

The company has attracted impressive funding off the back of tripling revenue growth and a 2023 entry into the US market. This will be invested into scaling its operations across the US and EU and will support its product enhancement initiatives.

Steph

Company Specialist at Welcome to the Jungle

Insights

Top investors

140% employee growth in 12 months

Glassdoor (4.4)

Company

Funding (last 2 of 4 rounds)

May 2025

$120m

SERIES C

Apr 2024

$72.4m

SERIES B

Total funding: $220.6m

Company benefits

Opportunity to build and scale your career at the intersection between sales and product in a dynamic and growing startup on its journey to become the international leader in SaaS platforms for Conversational AI
Be part of a dynamic, driven and international team with flat hierarchies and collaborative company culture and set new industry standards in customer communication
Competitive salary
Training and development budgets which can be used for conferences, attending development courses to ensure continuous professional growth
Flexible working hours and possibility to take additional vacation days
A great company culture with regular team events, games night or other social activities
And last but not least: a beautiful office with flair in the heart of Berlin with all the conveniences, such as adjustable desks, social area, fresh fruits, cereals and drinks

Company HQ

Prenzlauer Berg, Berlin, Germany

Leadership

Malte Kosub

(CEO)

Previous co-founder and Managing Director for both Future of Voice and Wandnotiz.

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