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Automation Engineer

Mpowerplus — Poland · Posted ~22 hours ago

Mid

Skills

Python pandas NumPy Excel Power Query Amazon Bedrock LLM prompt debugging Conversational analytics Vector indexes Amazon Athena Amazon S3 Amazon SageMaker Amazon OpenSearch AWS Serverless IAM VPC Docker Git CI/CD REST APIs JSON LangChain REST

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Summary ✨ AI‑Generated

An automation engineering role spanning production AI, cloud infrastructure, data operations, APIs, and CI/CD. The position involves maintaining Python-based tooling, configuring LLM services, optimizing cloud data stores and search schemas, debugging serverless environments, and supporting containerized deployment workflows.

Highlights

Broad automation role combining Python, cloud infrastructure, production AI, LLM operations, data querying, API integration, and CI/CD maintenance across a modern AWS environment.

Description

Code Maintenance: Python (pandas, NumPy), Excel Power Query scripting LLMs & Production AI: Amazon Bedrock configuration, LLM prompt debugging, conversational analytics handling, LangChain or similar frameworks, vector index maintenance. Predictive Support & Querying: Amazon Athena view optimization, Amazon S3 bucket management, Amazon SageMaker model pipeline validation loops. Search Schema Maintenance: Amazon OpenSearch / Athena schema optimization and indexing scripts. Cloud & DevOps Maintenance: AWS Serverless setup management, S3 bucket storage, IAM user roles, VPC subnets, and code environment debugging. CI/CD Tools: Docker container support, Git branch management, pipeline monitoring, AWS schedulers. Web/API Integration: Debugging REST APIs, handling JSON data payloads, and basic interface layout concepts.