Senior Cloud AI Engineer
5 dni temu
- 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.
- 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.
- 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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