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Bengaluru metro location and broad AI/full-stack requirements increase competition, but role is entry-level and moderately niche.
Core ML/LLM skills transfer across industries, but agentic AI and automotive context raise domain specificity slightly.
Explicit 0–1 year requirement, mandatory Python and ML fundamentals create moderate filtering criteria.
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Design and develop Agentic AI workflows and LLM-powered applications using frameworks like LangChain and LlamaIndex.
Develop RESTful APIs, backend services, and microservices with secure authentication using technologies such as Django, Flask, FastAPI, and Celery for asynchronous AI workloads.
Support AI/ML model development, containerize applications with Docker, and assist with cloud deployments on AWS and CI/CD pipeline integration.
0 to 1 year of experience or strong academic/project exposure in AI, ML, or Software Development.
Mandatory programming knowledge in Python; familiarity with web technologies (HTML, CSS), RESTful APIs, and basic Machine Learning concepts.
Bachelor’s degree or final-year student in Computer Science, AI/ML, Data Science, or related field.
Must be willing to work 5 days a week in office; no remote or hybrid work mentioned.
Early-career professional or fresh graduate with strong academic/background exposure in AI/ML and software development.
Familiar with agentic AI concepts, LLMs, NLP, and modern AI frameworks such as Hugging Face, LangChain, or LlamaIndex.
Comfortable working in agile development cycles with experience or academic projects involving cloud-native and containerized environments (Docker, Kubernetes, AWS).