Senior Cloud & AI Engineer

Full Description

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, LLM s 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.