Back
Senior, specialized agentic AI role reduces applicant pool despite a recognizable SaaS employer.
Highly specialized agentic ML production expertise limits cross-industry transferability.
Explicit 8+ years, mandatory agent production experience, and strong ML background create strict shortlisting filters.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Own and develop core components of production AI agents including reasoning/execution loops, tool-calling harness, memory systems, and skill/tool registries.
Design planning and multi-step reasoning strategies to enable autonomous, reliable agent workflows impacting revenue processes such as forecasting and CRM updates.
Lead technical strategy for agentic AI stack, enforce guardrails and evaluation frameworks, and provide cross-functional leadership and mentorship on agent engineering.
8+ years in Data Science or Machine Learning, including 2-3 years hands-on building and deploying production AI agents.
Practical experience with agent components: reasoning loop, tool-calling harness, memory management, planning, guardrails, and evaluation.
Proficiency in Python with ability to write production-quality code; expertise in ML/statistics including classical ML, time-series forecasting, and deep learning.
Candidates must be based in India; hybrid work location is Bengaluru office.
Experienced in end-to-end design and operation of agentic AI systems at enterprise scale with understanding of trade-offs between latency, reliability, and cost.
Strong data science background with demonstrated ownership of statistical/machine learning modeling integrated into AI agents.
Able to translate complex technical concepts to non-technical stakeholders and lead cross-functional teams while mentoring senior data scientists.