Python Developer

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.