Python AI Engineer

About the role:

Join us to build AI at the core of edrone’s product direction, from AI-crafted email designs, personalized content, and dynamic customer segmentation to agent-powered automations that drive measurable outcomes. This role is for product-minded engineers with strong software + AI instincts who take end-to-end ownership.

Who are we?

Edrone is a SaaS-based product that helps thousands of small and medium-sized businesses compete with major brands. Our mission is to provide simple solutions to big challenges in eCommerce. We achieve results through a strong feedback culture and clearly defined, transparent expectations. Currently, we work with 2,500 online stores - primarily in Poland Brazil and Mexico. Brands such as Bielenda, Mosquito, or Lilou have placed their trust in our product. Our company brings together around 180 people, including approximately a 25-person product and engineering team dedicated to continuously improving the platform.

If you want to learn more about our culture and what it’s like to work at edrone, check it out here.

Our social media: LinkedIn, Instagram, YouTube.

Sounds great? Keep on reading

What’s in it for you:

• We value initiative and ownership - if something makes sense, we act on it quickly and take full responsibility for delivering it.

• Direct responsibility for projects, regular 1:1s with your leader with a blameless postmortems, code reviews

• B2B contract (17-22k) & covering all the costs of accounting services

• Hybrid or remote work or a modern, well-equipped office - whatever you prefer

• 26 paid days off so you can relax properly

• Benefits: MultiSport card, LuxMed medical package, group accident insurance, English classes, and Hedepy - a portal for mental health and development

  
  

Who you are:

• 3+ years of professional experience as a Python/AI Engineer, with a strong focus on backend development and AI

• You’ve built LLM-powered applications

• Deep expertise in Python, writing clean, maintainable, and efficient code across a range of applications

• Experienced with AWS services (Lambda, ECS, S3, OpenSearch, RDS, DynamoDB, SQS, etc.) to build, deploy, and scale cloud-native Python applications

• Strong background in building and maintaining RESTful APIs, microservices, and backend systems

  
  

It’s nice if you have:

• Familiarity with data orchestration tools

• Knowledge of dbt or strong SQL/ETL background

  
  

How you will spend your time:

Backend System Development

• Design, build, and maintain robust Python-based services and microservices

• Develop and optimize RESTful APIs and background services supporting core business logic and integrations

• Ensure code quality, reusability, and scalability through modular design and adherence to best practices

AI features delivery:

• Turn product goals into shippable AI features that measurably improve customer experience and KPIs.

• Design and build AI agents, workflows, and retrieval-augmented (RAG) solutions end-to-end.

Cloud-Native Application Engineering

• Develop serverless and containerized applications using AWS Lambda, ECS, and other cloud-native tools

• Leverage AWS services (S3, RDS, DynamoDB, Step Functions, etc.) to support backend operations and workflows

• Collaborate with DevOps to provision, deploy, and monitor cloud infrastructure

Automation and Task Orchestration

• Automate recurring tasks, background jobs, and workflows using Python scripts and AWS orchestration tools

• Build and maintain task schedulers and asynchronous workers for time-sensitive operations

• Implement monitoring, logging, and alerting systems for observability and proactive issue resolution

Performance and Reliability

• Optimize application performance, API response times, and system throughput

• Implement retries, fallbacks, and circuit breakers to increase fault tolerance

• Continuously assess and improve system design for scalability and maintainability

Contribute to Innovation and Excellence

• Stay informed on modern Python practices, libraries, and AWS developments

• Take initiative in proposing improvements and new ideas to enhance our platform

  
  

How does the recruitment process look like:

1. A 30-minute Online Interview with the People and Culture Partner - Milena Micor, where we aim to get to know you a little better

2. A technical online Interview with the Team Lead - Krystian Andruszek and another panelist.

3. 30-minute conversation with our CTO - Maciej Mendrela to align on vision, culture, and expectations

4. Decision regarding the offer and welcome on board

After each stage, you will always receive feedback regarding your candidacy.