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Tier-1 brand, metro location, and mid-level generalist AI/fullstack requirements increase applicant competition.
Role demands specialized GenAI, LLM, MLOps, and cloud skills, limiting cross-industry transferability.
Multiple explicit years, mandatory ML/GenAI, cloud, and MLOps skills make filters highly selective.
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Design and develop AI-powered applications leveraging Python and/or Java with React frontend where applicable.
Integrate and build functionalities using LLM frameworks such as LangChain, LlamaIndex, LangGraph, including RAG pipelines and vector search.
Develop and deploy REST APIs and microservices using frameworks like FastAPI, Flask, or Spring Boot within cloud AI platforms, ensuring performance, security, and responsible AI standards.
3+ years of professional Python or Java full stack development experience.
3+ years of practical AI/ML experience with frameworks like TensorFlow, PyTorch, or Keras.
2+ years of experience specifically with Generative AI and Agentic AI technologies, including OpenAI, LangChain, LlamaIndex, or LangGraph.
Bachelor's or Master's degree in Computer Science, Engineering, or related field.
Experience working in cloud-native environments using AWS, Azure, or Google Cloud platforms with containerization tools like Docker and Kubernetes.
Proficient in integrating large language models (LLMs) and building Retrieval-Augmented Generation (RAG) architectures with prompt engineering expertise.
Familiarity with MLOps practices and CI/CD pipelines for deploying AI models in production.