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Tier-1 employer plus mid-level, broad AI skillset increases applicant density despite niche LLM specialization.
Strong LLM, vector DB, and enterprise AI requirements limit cross-industry transferability.
Explicit 5+ years and multiple mandatory AI, LLM, and data engineering skills increase filtering strictness.
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Lead complex, companywide technology initiatives with broad impact on software engineering standards and best practices.
Design, develop, test, and debug large-scale technology solutions and enterprise AI applications including Generative AI, knowledge retrieval, and scalable data pipelines.
Collaborate with senior tech teams and external experts to resolve complex issues, lead projects, and mentor peers.
5+ years of software engineering experience delivering enterprise-scale applications and platforms.
Bachelor’s or master’s degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or related field.
Strong expertise with Python, distributed systems, API development, and modern software engineering practices.
Work Experience Required: Minimum 5 years in software engineering with demonstrated expertise.
Experienced in building production-grade Generative AI solutions leveraging LLMs, LangChain, Retrieval-Augmented Generation, and semantic retrieval technologies.
Proficient with large-scale data engineering including design of ETL/ELT pipelines using Spark, Databricks, and distributed computing.
Skilled in architecting cloud-native, secure, and scalable AI applications using microservices, REST APIs, CI/CD, DevOps, and AI/LLMOps in cloud environments such as GCP.