Generative AI Application Engineer

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Job Title : AI Solutions Engineer (AWS Ecosystem Preferred) – Mid-Level

Location : Bangalore (Hybrid)

Job Type : Full-Time

CTC - up to 12LPA

CloudZenia is seeking a mid-level AI Solutions Engineer with expertise in building and deploying GenAI and ML solutions on the AWS ecosystem. You’ll work closely with customers and cross-functional teams to deliver high-impact, scalable AI / ML applications that solve real-world business challenges.

Key Responsibilities : -

• Design and implement AI / ML solutions tailored to complex customer challenges.
• Translate complex customer challenges into optimized Al / ML solutions.
• Build and deploy Agentic Al systems and RAG-powered applications.
• Develop and optimize pipelines using Python, PyTorch, TensorFlow, LangChain.
• Architect and deploy solutions using AWS GenAI & ML services (Bedrock, SageMaker, Kendra, Lex, Lambda, S3, etc.).
• Implement MLOps best practices : CI / CD for ML, monitoring, retraining, and scaling.
• Work with structured and unstructured data, including text, images, and embeddings.
• Collaborate with customers, architects, and product managers to ensure clear communication and measurable impact.
• Balance performance, cost, and security in every solution.

Requirements : -

cloud-native architecture knowledge is a plus.

About the Company :

CloudZenia is an IT services company specializing in Managed DevOps, Cloud Engineering, Migration, Backup & DR, Security Solutions, and Managed Services. We deliver tailored, scalable, and cost-efficient cloud solutions that enhance reliability, performance, and operational efficiency for businesses across industries.