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Strong employer brand, mid-level ML role, Bangalore metro, popular LLM skills increases applicant competition.
Specialized LLM/NLP skills bias domain fit, but Python and cloud skills remain transferable across industries.
Explicit 4+ years, mandatory LLM and Python experience plus tooling and on-call requirements raise strictness.
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Leverage AI applications including NLP and Large Language Models for document understanding tasks such as classification, data extraction, and semantic similarity.
Deploy and maintain production-grade LLM-based solutions, including fine-tuning and prompt engineering for high accuracy on confidential business documents.
Design, code, monitor, and support end-to-end systems, including data processing pipelines and observability for tracing and debugging LLM outputs.
4+ years of software engineering experience primarily with Python.
2+ years hands-on experience building and deploying applications using Large Language Models (LLMs).
Proficiency in classic NLP libraries and experience with LLM tracing/debugging platforms (e.g., Langfuse).
Educational Requirement: Bachelor's or Master's degree in Computer Science, Computer Engineering, or related AI/ML field OR equivalent industry experience.
Experienced in applying state-of-the-art AI/ML techniques, specifically with LLMs and prompt engineering at scale.
Comfortable owning complex engineering problems related to latency, scalability, and reliability in AI-powered production systems.
Demonstrates strong skills in building scalable data processing pipelines and integrating observability for AI models.