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Us3 Consulting Linkedin · Posted 6d ago

Python Developer

Poland

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Indexed description

Job title: Engineer – Python / AWS / GenAI

Location: Wroclaw, Poland


Job Description

We are looking for an AWS Python / GenAI Engineer with 4–6 years of experience to support application maintenance, cloud operations, production AI/LLM solutions, data querying, and automation. The ideal candidate should have strong Python and AWS expertise, along with hands-on exposure to Amazon Bedrock, SageMaker, Athena, OpenSearch, and serverless AWS environments.


Key Responsibilities

  • Maintain and enhance Python-based applications using Pandas and NumPy.
  • Develop and maintain Excel Power Query scripts for data processing and automation.
  • Configure and support Amazon Bedrock and production LLM solutions.
  • Debug LLM prompts and troubleshoot conversational analytics use cases.
  • Work with LangChain or similar LLM frameworks.
  • Maintain vector indexes and support AI/GenAI search capabilities.
  • Optimize Amazon Athena views, queries, schemas, and indexing.
  • Manage Amazon S3 buckets, storage, and access configurations.
  • Validate Amazon SageMaker model pipelines and support validation loops.
  • Maintain and optimize Amazon OpenSearch schemas and indexes.
  • Support AWS serverless environments, including IAM, VPC, S3, and code environments.
  • Troubleshoot cloud infrastructure and application issues.
  • Support Docker containers, Git branches, CI/CD pipelines, and AWS schedulers.
  • Debug REST APIs, JSON payloads, and basic application/interface issues.
  • Monitor production applications and resolve technical issues efficiently.


Required Skills

  • Python – strong hands-on experience.
  • Pandas, NumPy.
  • AWS Cloud.
  • Amazon Bedrock / LLMs / Generative AI.
  • LLM prompt debugging and conversational analytics.
  • LangChain or similar frameworks.
  • Vector indexes / semantic search concepts.
  • Amazon S3, Athena, SageMaker.
  • Amazon OpenSearch.
  • AWS Serverless services.
  • IAM and VPC fundamentals.
  • Docker and Git.
  • CI/CD and pipeline monitoring.
  • REST APIs and JSON.
  • Strong debugging and production support skills.


Good to Have

  • Experience supporting production GenAI applications.
  • Experience with vector databases/indexing.
  • Experience with AWS-based ML/AI pipelines.
  • Knowledge of frontend/interface concepts.
  • Experience with automation and cloud schedulers.


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