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Hybrid Bengaluru senior ML role but niche agentic-AI specialization reduces candidate pool.
Requires niche production agentic AI and LLM engineering experience, limiting cross-industry transferability.
Explicit 7+ years, 2–3 years agent experience, and specific LLM/agent tooling and production requirements.
Own design and development of production AI agents, including their reasoning/execution loop, tool management, memory, and planning components.
Lead technical strategy for the agentic AI stack, determining when to use agents versus classical or hybrid models for revenue problems.
Drive evaluation, guardrails, multi-agent coordination, and partner with leadership to translate business needs into agentic AI solutions.
7+ years in Data Science or Machine Learning with at least 2-3 years building and operating production AI agents.
Hands-on experience owning multiple agent components: execution loop, tool harness, memory systems, skill/tool registry, planning, guardrails, and evaluation.
Strong background in data science or applied ML including statistics, modeling, and classical ML techniques (XGBoost, causal inference).
Must be based in India with ability to work hybrid onsite in Bengaluru office.
Experienced in building robust, scalable AI agents in production environments rather than prototype or demo projects.
Skilled in system design balancing trade-offs in reasoning complexity, latency, and cost at enterprise scale.
Strong in both ML theory and engineering with proficiency in Python and generative AI frameworks (LangChain, vector databases, fine-tuning methods).