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Generic junior developer title plus LLM/ML expectations increases competitive applicant density.
Cloud and ML engineering skills are broadly transferable across industries.
Explicit 1–2 years cloud experience and preferred ML fundamentals create moderate filtering.
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Design, develop, test, and deploy software components to enhance automotive dealership customer engagement.
Build and integrate AI/ML solutions including developing, fine-tuning, and deploying large language model APIs into production.
Collaborate with business stakeholders to translate requirements into scalable technical solutions and communicate project goals with product teams.
1-2 years of experience developing cloud-based software services with knowledge of scalability, performance, and reliability.
Familiarity with AI/ML fundamentals including LLMs, embeddings, inference, and model integration preferred but not mandatory.
Preferred degree in Computer Science/Engineering or equivalent experience; institute tier preferences mentioned but not mandatory.
Work Experience Required: 1-2 years in relevant software development.
Experience working with cloud services and microservices architecture in a SaaS environment targeting automotive or similar B2B use cases.
Comfortable handling multiple tech stacks and integrating AI/ML solutions practically into production environments.
Demonstrates ownership and pushes for technical excellence by balancing speed and reliability and openly discussing tradeoffs.