Backend Engineer (Remote)

Backend languages, including Python

Distributed systems technologies such as Elasticsearch and Spark, FastAPI, etc.

Docker and Kubernetes for containerization and orchestration

Industry-standard build tooling, including GitHub

Architecting, developing, and maintaining high-performance, scalable backend services that underpin our our operational data and AI systems

Maintaining high coding standards through the development of guidelines, active participation in code reviews, and fostering a culture of continuous improvement and knowledge sharing among your team

Building robust APIs for use by front-end developers and interfacing external systems, and collaborating with front-end developers to integrate user-facing elements with server-side logic

Designing efficient data structures and algorithms to manage large-scale and high throughput data

Optimizing applications for speed and scalability through performance analysis

Actively improve user workflows by collaborating with cross-functional teams, ensuring seamless experiences across product boundaries and a cohesive user experience

Work from anywhere (home, office, etc.)

From 10.000 PLN/month up to 20.000 PLN/month + VAT on a B2B contract

26 days of paid holidays + an equivalent of public holidays in Poland

Additional benefits tailored to your needs (We do not follow a one-size fits all approach)

Startup atmosphere, less documentation and rules, we are open to experimenting and learning

Never alone in a project – always together 2 people at least

Very good place for people who are passionate about data and IT

Python – at least 2 years of production experience

Ability to develop APIs in FastAPI.

Use of best practices: testing, code formatters, typing, Pydantic

Practical knowledge of Docker

Basic understanding of the typical ML pipeline

Fluent written and verbal communication in English

Experience in production use of LLM models

Experience with Langchain, Langgraph, RAG

Experience with Langsmith or other LLM-based system performance monitoring tool, independently creating evaluation pipelines. Ability to train other team members

Experience in building RAG-based systems, understanding of vector database applications

Experience in all phases of software development: from prototyping solutions in the R&D phase to creating a production solution

Basic knowledge of Streamlit (or other frontend library that allows rapid prototyping)

Knowledge of CI/CD processes

Experience with cloud technologies, especially with services that allow you to host containers (in particular Amazon ECS, Azure Container Instances, Google Cloud)

Experience with Infrastructure as a Code (Terraform)

Home assignment

Screening call

Tech Interview