You will build the intelligence behind next-generation agentic AI systems that reason over massive, heterogeneous log data
Job Summary
You will build the intelligence behind next-generation agentic AI systems that reason over massive, heterogeneous log data.
The role requires designing context engineering, memory management, and prompts while collaborating cross-functionally to deliver end-to-end AI-powered insights.
This position offers the opportunity to work on cutting-edge LLM infrastructure and define best practices in context engineering and AI observability.
Matching Summary
You will build the intelligence behind next-generation agentic AI systems that reason over massive, heterogeneous log data.
Skills & Requirements
Must-have
Proficiency in Python and ML libraries
Strong understanding of LLM core concepts
Experience with agentic design patterns
Knowledge of data pipelines and model evaluation
4-6 years of hands-on industry experience
Nice-to-have
Familiarity with JVM languages
Prior experience building AI agents in production
Exposure to LLM Ops and observability
Bias for action in ambiguous environments
Passion for shaping emerging AI paradigms
Key Requirements
B.Tech, M.Tech, or Ph.D. in Computer Science or related field