
Senior Cloud
3 weeks ago
Job Title: Senior Cloud & AI Engineer
Location: Remote / Hybrid / Office (Flexible)
About the Role:
We 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.
Key Responsibilities:
- 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.
Qualifications:
- 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.
Preferred Skills:
- 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.
Why Join Us?
- Work on cutting-edge AI solutions with a direct impact on customer engagement and business outcomes.
- Be part of a forward-thinking team that encourages innovation and creativity.
- Enjoy flexible working arrangements and a culture that values work-life balance.
Mid-Senior level
Employment TypeFull-time
Job FunctionEngineering, Information Technology, and Other
IndustriesTechnology, Information and Media, IT Services, and IT Consulting
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