Senior Data Scientist - Agentic AI
Salesloft (company site, opens in a new tab)7+ yrsBengaluruOn-siteDirect career pageEst. 30–55 LPA
Posted on 17 Sept
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Job description
Structured overview of role & requirements
About This Role
- 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.
Minimum Requirements
- 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.
Ideal Candidate Profile
- 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).