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.

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.