Back
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
YC-backed Bangalore role with popular AI title but niche LLM/MLOps skills limit generic applicant competition.
Core LLM and MLOps skills are transferable, though accounting domain experience adds moderate industry specificity.
Explicit 7+ years, mandatory LLM/MLOps expertise and production AI ownership make filters highly strict.
Own end-to-end lifecycle of AI models including design, deployment, monitoring, evaluation, and optimization in production environments.
Lead development of production-grade LLM-based applications, multi-agent systems, and AI workflows with a focus on reliability, scalability, and performance.
Build and maintain evaluation, testing, and MLOps/LLMOps frameworks to ensure AI system quality, observability, and governance.
7+ years of experience in AI/ML or related roles with proven track record of shipping AI products at scale.
Strong Python programming and software engineering skills.
Hands-on experience with LLM APIs, agent systems (e.g. LangGraph, RAG), and ML evaluation frameworks.
Experience with MLops/LLMOps practices including deployment, monitoring, versioning, and lifecycle management.
Experienced in building scalable, production-grade AI/LLM systems with ownership of AI initiatives from concept to production.
Skilled in building automation workflows integrating agentic AI systems and multi-agent orchestration frameworks.
Proficient in designing evaluation and reliability frameworks for generative AI models and implementing continuous improvements based on structured testing.