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Mid-level, generalist AI role in metro with broad cloud and GenAI skill requirements.
Specialized GenAI and cloud engineering skills transfer across industries but require ML domain experience.
Explicit 4–6 years plus mandatory GenAI, cloud, and DevOps skills increase filtering strictness.
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Write production-grade code for AI/ML and cloud-based enterprise solutions including backend microservices and API integrations.
Implement and integrate GenAI features, agentic workflows, and intelligent automation within AI engineering frameworks.
Engage with clients for technical consulting, provide technical assessments, and support pre-sales activities for AI integration and cloud migration projects.
4–6 years of software engineering experience with minimum 2 years as a Senior AI Engineer.
Proficiency in Python, .NET (C#, ASP.NET Core), Java, or Node.js with experience in GenAI APIs such as OpenAI or Azure OpenAI.
Bachelor's degree in Computer Science, Computer Engineering, Information Technology, or related technical field.
Hands-on experience with cloud platforms AWS, Azure, or GCP including microservices, Docker, Kubernetes, and CI/CD pipelines.
Experienced in delivering enterprise-grade AI and cloud-native solutions in consulting or client-facing IT service roles.
Familiar with AI engineering frameworks, GenAI integration patterns, and automation using workflow orchestration or RPA tools.
Comfortable mentoring engineers and collaborating across global teams with strong technical communication skills.