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Mid-level Bangalore AI role with metro and common title, but specialized LLM skills moderate competition.
Highly specialized LLM and production-AI focus makes cross-industry transferability limited.
Explicit 4+ years and 2+ years LLM production experience plus mandatory technical skills increases strictness.
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Own design, development, and continuous improvement of AI agent systems for automated market research workflows.
Lead creation and maintenance of synthetic data generation pipelines, evaluation datasets, and automated data quality checks to improve model performance.
Drive system architecture decisions around long-context handling, cascading error mitigation, prompt engineering, and production-grade AI model monitoring and optimization.
4+ years engineering experience, with minimum 2 years focused on LLM systems or applied ML in production.
Proficient in Python; knowledge of Go or TypeScript is a plus.
Strong practical experience in model fine-tuning, prompt engineering, synthetic data pipelines, and evaluation frameworks for AI systems.
Experience building and operating production AI systems with ability to debug complex non-deterministic failures.
Experienced in building scalable AI systems with hands-on ownership of end-to-end ML pipelines and data infrastructure.
Comfortable leading innovation on difficult problems like error cascading and long-context management in LLM-based systems.
Able to independently drive complex issues to resolution and work closely with domain experts on evaluation and dataset evolution.