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Tier-1 brand, Bengaluru location, and mid-level AI role create moderate competition.
Specialized ML/GenAI and LLM expertise reduces cross-industry transferability.
Multiple explicit years and mandatory GenAI, cloud, and MLOps skills increase shortlisting strictness.
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Design and develop AI-powered applications using Python and/or Java with React, focusing on LLM integration and Generative AI features.
Build and deploy microservices and REST APIs with frameworks like FastAPI, Flask, or Spring Boot in a cloud-native environment.
Implement MLOps practices and CI/CD pipelines to ensure performance, security, and responsible AI standards in AI solutions.
3+ years professional Python or Java full stack development experience.
3+ years AI/ML experience with frameworks like TensorFlow, PyTorch, or Keras.
2+ years Generative AI and Agentic AI experience with tools like OpenAI, LangChain, LlamaIndex.
Bachelor's or Master's degree in Computer Science, Engineering, or related field.
Experienced in LLMs, prompt engineering, and RAG architecture design for AI applications.
Skilled in cloud platforms (AWS, Azure, or GCP) with containerization tools like Docker and Kubernetes.
Ability to develop full stack features with React and deploy AI solutions using MLOps and CI/CD best practices.