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Tier-1 brand, mid-level experience, and metro location create high candidate competition.
Role requires specialized LLM, production AI, and data engineering expertise, limiting cross-industry transferability.
Explicit 5+ years plus mandated LLM, Python, and data engineering skills make shortlisting highly strict.
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Lead and architect enterprise-scale Generative AI solutions utilizing LLMs, LangChain, RAG, and related AI frameworks to address complex business challenges.
Design, develop, and optimize scalable data engineering pipelines using Spark, Databricks, and distributed computing for large-scale data processing.
Establish companywide engineering standards and lead complex technology initiatives across multiple teams, including mentoring and decision-making on best practices.
5+ years of software engineering experience with enterprise-scale application development.
Bachelor's or master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or related field.
Strong proficiency in Python, object-oriented design, API development, and distributed systems.
Work Experience Required: At least 5 years in software engineering, with specific experience in enterprise AI and data engineering solutions.
Experienced in designing and deploying production-grade Generative AI and LLM-based applications in enterprise environments.
Proficient in building cloud-native, secure, and scalable AI platforms with strong knowledge of microservices, CI/CD, and AI/LLMOps.
Skilled in advanced knowledge retrieval systems including vector search databases and semantic search technologies integrating AI and graph databases.