Informacje o stanowisku

Responsibilities

• Tool Implementation: Work collaboratively with our Data Science team to implement tools within AWS, leveraging their designs and developments.
• Architecture Design and Implementation: Lead the design and implementation of the overall architecture, ensuring seamless integration and scalability.
• UI Integration: Collaborate on the integration of the user interface.
• System Development: Transform and optimize Python code for AWS services, ensuring robust and efficient application deployment.

This is a 12-16 weeks long project.

Benefits

• Medical Care
• Benefits Platform: Motivizer Benefits Platform to choose and manage all your benefits in one place. You receive a budget (550 PLN monthly) to choose medical care package, meal tickets, sports cards (we have Multisport and on preferential terms, we have membership cards to one of the most popular Gyms), cinema tickets, shop vouchers, discounts and many more.
• Language Courses: Youll have access to a multi-language learning platform enabling you to practice your language skills and learn new ones!
• Training Opportunities: Regular and systematic further training opportunities - both internally and from external providers. We support your ongoing learning and development.
• Company Events: Cooperation within an internal community is our everyday reality. We have networking events, coding challenges, and company parties for different occasions.

Qualifications

• Proficiency in Python: Strong coding skills in Python.
• AWS Expertise: Experience with AWS services, including S3, Lambda, DynamoDB, SQS, ECS, and ALB.
• Production Applications: Proven track record of developing production applications using AWS and Python.
• Workflow Development: Experience in building workflows with tools such as Airflow, Temporal, Databricks, StepFunctions, etc.

Nice to have:

• Infrastructure Tools: Familiarity with AWS and Terraform Enterprise.
• Release Management: Experience managing releases across multiple environments (Dev/QA/Prod).
• LLM Stack Experience: Any related to data science / large language model stacks (e.g., Llama Index, LangChain, LangFuse, AWS Bedrock, etc.).

About Aim Reply

At AIM Reply, our mission is to establish ourselves as a world-class boutique AI consulting and services company. Dedicated to transforming businesses by harnessing the profound capabilities of artificial intelligence, we serve a range of industries including retail, manufacturing, logistics and financial services, underpinned by our deep expertise in data and advanced analytics. Our collaboration with industry-leading tech giants and cutting-edge AI startups enriches our approach, enabling us to deliver bespoke, industry-specific AI solutions.

How to become a Replyer

Level 1: You found an opportunity that suits you and your abilities? Perfect! Use our application form to send us your resume and credentials. Once we receive your documents, you will get a confirmation via email.

Level 2: We will now review your application and come back to you as soon as possible. If it’s a match, we will contact you for an interview.

Level 3: Is it a fit? Do we match your expectations? What about the job requirements and the workplace? All that will be covered in the interview. If more than one Reply company is suitable for you, you have the possibility to participate in several interviews!

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