Python Developer

Us3 Consulting; Wrocław; On-site; PLN 150,000 - 230,000; Full time

Job summary

Us3 Consulting in Wroclaw, Poland seeks an AWS Python / GenAI Engineer with 4–6 years of experience to support application maintenance, cloud operations, and production AI/LLM solutions. The role emphasizes Python proficiency, strong AWS knowledge, and hands-on work with Bedrock, SageMaker, Athena, OpenSearch, and serverless AWS services.

You will maintain vector indexes, optimize queries, and manage S3 storage while debugging prompts and assisting with CI/CD pipelines and REST APIs.

Qualifications

• Strong Python development experience with production systems.
• Hands-on AWS experience including Bedrock, Lambda, and serverless architectures.
• Familiarity with GenAI, LLM integration, and practical prompt design.

Responsibilities

• Maintain and enhance Python-based applications and data processing pipelines.
• Configure and support Bedrock and production LLM solutions.
• Debug prompts and support conversational analytics use cases.
• Work with LangChain or similar LLM frameworks and vectors.

Skills

Python

AWS Cloud

Bedrock

LLMs

LangChain

Vector indexes

SageMaker

OpenSearch

S3

Athena

Docker

Git

CI/CD

REST APIs

JSON

VPC

IAM

Tools

Pandas

NumPy

Excel Power Query

LangChain

OpenSearch

SageMaker

Bedrock

Athena

Job description

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.