
Senior Cloud
7 days ago
Join to apply for the Senior Cloud & AI Engineer role at ibex.digital
2 days ago Be among the first 25 applicants
Job OverviewWe are seeking a skilled and experienced Senior Cloud & AI Engineer to join our team and help build our cutting-edge internal and customer facing AI solutions. We leverage multi-AI agent frameworks, cloud technologies, and services such as Cloud Native Cognitive Services, Agentic AI, LLMs, and more to deliver powerful AI-driven solutions. The successful candidate will play a pivotal role in designing and developing scalable, secure, and high-performance cloud-native solutions integrated with advanced AI capabilities.
Job Description- Design, develop, and maintain scalable backend services and cloud infrastructure for our AI applications
- Implement and integrate AI technologies such as LLMs, RAG, and fine-tuning using Microsoft Cognitive Services and other cloud-based AI solutions
- Develop APIs and microservices that deliver AI-driven functionality for our platform
- Collaborate with data scientists and AI engineers to integrate advanced AI models into cloud-based applications
- Ensure system performance, scalability, and reliability by designing robust architecture patterns
- Build data pipelines and manage vector databases (e.g., Pinecone, Weaviate) to support AI model deployment
- Drive cloud infrastructure automation using tools like Terraform, Bicep, or ARM templates
- Establish CI/CD pipelines, monitoring systems, and automated testing frameworks to support engineering best practices
- Collaborate with product managers, UX designers, and other engineers to deliver impactful solutions that meet customer needs
- 5+ years of experience in backend engineering for cloud platforms
- Proven experience in cloud platforms such as Microsoft Azure, AWS, or Google Cloud
- Strong programming skills in Python, C#, FastAPI or Node.js
- Experience in integrating cloud-native AI services such as Azure Cognitive Services, OpenAI, or equivalent platforms
- Deep understanding of RESTful APIs, microservices architecture, and serverless design patterns
- Strong knowledge of containerization technologies like Docker and orchestration tools like Kubernetes
- Familiarity with data pipelines, data lakes, and AI-driven data flow architectures
- Experience with cloud security best practices and designing secure APIs and services
- Experience in developing conversational AI systems, intelligent automation tools, or agent-based frameworks
- Strong understanding of RAG, fine-tuning, and other AI-specific techniques
- Familiarity with vector databases like Pinecone, Weaviate, or similar technologies
- Background in agile development practices and working in cross-functional teams
- Medical Insurance
- Permanent Employment Status
- Provident Fund
- Internal Job Opportunities
- Annual Leaves
- Leaves Encashment
- Referral Bonus
- Company Pick & Drop
- Mid-Senior level
- Full-time
- Engineering and Information Technology
- Telecommunications
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