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Tier-1 brand, mid-level title, 3+ years requirement, and Bangalore location drive high competition.
Strong LLM/GenAI and enterprise cloud requirements limit cross-industry transferability.
Multiple mandatory ML/GenAI, Python, LangChain, and cloud skills create strict technical filters.
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Design, develop, and troubleshoot software solutions integrating Gen AI models with enterprise workflows.
Build and maintain secure, high-quality production code and data pipelines from disparate sources.
Utilize AI-assisted development tools to enhance code quality, delivery speed, and productivity while ensuring security and compliance.
3+ years of applied software engineering experience with formal training or certification.
Strong hands-on expertise in Python and frameworks like Django, Flask, or FastAPI.
Experience with AI-assisted software development tools and integration of LLMs/Gen AI solutions.
Familiarity with ML frameworks (PyTorch, TensorFlow, Hugging Face), cloud AI services (AWS/Azure/GCP), and agile methodologies.
Experienced in end-to-end system design, application development, and operational stability in large corporate environments.
Capable of validating and refining AI-generated outputs with a focus on security, performance, and responsible AI practices.
Skilled in building enterprise-scale Gen AI solutions using frameworks like Langchain and LangGraph, with expertise in cloud technologies such as AWS.