Senior Cloud AI Engineer

5 dni temu


Polska Transition Technologies Managed Services Pełny etat 80 000 zł - 120 000 zł rocznie
Your responsibilities:
  • Architect & Develop: Design, develop, test, and deploy a scalable and secure RAG (Retrieval Augmented Generation) service using Python and serverless AWS technologies.
  • Infrastructure as Code: Define and manage all required AWS infrastructure using the AWS Cloud Development Kit (CDK)
  • Data Ingestion & Processing: Implement robust pipelines for processing and embedding unstructured data (e.g., PDF, DOCX, HTML), making it ready for semantic search and retrieval.API Development:
  • Build and maintain a RESTful API for the service
  • CI/CD & Automation: Maintain CI/CD pipelines (GitLab CI)
  • Monitoring & Optimization: Implement comprehensive monitoring and logging to track service health, performance, and cost. Proactively identify and resolve bottlenecks or issues.
  • Collaboration: Work closely with our cloud engineering, data science, and AI Platform teams to ensure seamless integration, operational excellence, and alignment with company-wide standards.
We are looking for you, if you have:
  • Experience: 5+ years of professional software engineering experience with a focus on Python, including designing and building scalable, production-grade applications
  • Cloud Expertise: [VERY IMPORTANT] 3+ years of hands-on experience with AWS (AWS Lambda, Step Functions, IAM, VPC, S3, DynamoDB,API Gateway, CloudFormation / CDK)
  • API Development: Proven experience building and managing high-volume RESTful APIs, with a strong understanding of best practices for performance and security
  • DevOps: Experience with Docker and building CI/CD pipelines (GitLab CI is a plus)..
  • AI/ML Fundamentals: A strong conceptual and practical understanding of GenAI concepts, particularly embedding models, vector search, and reranking algorithms.
  • GenAI Frameworks: [HIGHLY DESIRABLE] Hands-on experience with agentic or RAG-specific frameworks like LangChain or LlamaIndex.
  • Strong sense of ownership and a proactive approach to new tasks or any issues
  • Strong verbal and written communication skills in English
  • Modern Python: Expertise in modern Python development practices, including type hints, uv package manager, and data validation libraries like Pydantic.
  • Data Parsing: Specific experience with complex data extraction challenges, such as parsing intricate PDF files or other unstructured document formats.
  • Observability: Experience with monitoring and observability tools like AWS CloudWatch, Grafana, or similar.
  • GxP Experience: Previous experience working on projects in a regulated GxP environment is a significant plus.
  • Cross-Cloud Knowledge: Familiarity with comparable services on other clouds, such as Azure AI Search.
We offer:
  • Interesting and challenging projects
  • Flexible working hours
  • Friendly, non-corporate atmosphere
  • Stable working conditions (CoE or B2B)
  • Possibility for self-development and promotion in the company
  • Rich benefits package
  • Possibility to work remotely

We reserve the right to contact the selected candidates.


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