Python Developer
Posted
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
- 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.