Senior Cloud AI Engineer - RAG Platform Location: Remote (Poland)Rate/Type of contract: B2B 175zł/hAvailability: Full-timeStart: ASAPAbout the RoleWe are supporting the Galileo Platform team in securing a highly skilled Python Engineer to work on RAG as a Service – a reusable, scalable solution enabling Retrieval Augmented Generation (RAG) for internal applications.This is a mission-critical and high-impact role at the forefront of GenAI adoption within the organization.Why Join Work on a high-impact, visible project used across one of the world’s largest life sciences companies Full ownership of technical decisions 100% remote flexibility Long-term opportunity in the fast-evolving Generative AI ecosystem Responsibilities: Architect & Build scalable and secure RAG services using Python and AWS Serverless technologies. Develop APIs: Create and manage RESTful APIs for the service with performance and security in mind. Infrastructure as Code: Define and manage AWS infrastructure via AWS CDK. Data Pipelines: Ingest, parse, and embed unstructured documents (PDF, DOCX, HTML) for semantic search. CI/CD: Maintain automation pipelines with GitLab CI. Monitoring & Optimization: Implement logging, monitoring, and cost tracking (CloudWatch, Grafana). Cross-team collaboration: Work with engineering, data science, and AI platform teams to ensure alignment and quality delivery. Business Value: Deliver tools that empower internal users and drive innovation. Required Qualifications 5+ years of software engineering experience (Python, backend systems, production-grade apps) 3+ years hands-on with AWS (Lambda, Step Functions, IAM, S3, DynamoDB, VPC, API Gateway, CloudFormation/CDK) RESTful API design and implementation (high-throughput and secure) DevOps skills (Docker, CI/CD pipelines – ideally GitLab CI) GenAI & NLP knowledge: Strong understanding of RAG principles, embeddings, vector search, reranking Hands-on with frameworks like LangChain or LlamaIndex Proactive ownership attitude and strong communication skills in English Nice to Have Modern Python (type hints, uv, Pydantic) Advanced document parsing (complex PDF/doc/file extraction) Experience in GxP-compliant or regulated environments Familiarity with cross-cloud tools (e.g., Azure AI Search) Experience with AI coding assistants (e.g., GitHub Copilot, Claude)