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Tier-1 brand, metro location, and broad senior ML/AI/cloud skillset drive high applicant density.
Core LLM, Python, and cloud production skills are highly transferable across industries.
Explicit 8-12 years, 3+ lead experience and mandatory LLM/cloud/Python requirements create strict screening.
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Lead design and deployment of AI/ML and LLM solutions, including fine-tuning and prompt engineering using frameworks like Hugging Face, LangChain, and LangGraph.
Architect, develop, and scale backend systems and ML/AI workflows in Python and cloud environments (AWS preferred), ensuring performance and automation.
Provide technical leadership by mentoring engineers, leading architecture reviews, and managing escalation and production issues.
8-12 years in software development, including 3+ years in senior or lead roles building ML/AI cloud solutions.
Strong expertise in LLM prompt engineering, few-shot prompting, and fine-tuning with frameworks such as Hugging Face and LangChain.
Proficient in Python for API and microservice development with frameworks like FastAPI, Flask, or Django.
Hands-on experience deploying AI/ML services on cloud platforms (AWS preferred), with skills in containerization, serverless, and Infrastructure as Code.
Experienced technical leader comfortable driving cross-team collaborations and mentoring engineers in complex AI/ML backend projects.
Skilled in modern AI/ML frameworks and cloud-native architectures, with a focus on building reusable, scalable pipelines in Python.
Proven ability to communicate complex technical concepts to diverse stakeholders and influence technical direction in product engineering settings.