Principal Engineer - AI / ML

Sprinklr · Bengaluru

  • Experience8–12 yrs
  • SalaryNot disclosed
  • Work modeonsite
  • Levelexecutive
  • Posted3 Sept 2026
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About Sprinklr

Sprinklr is hiring in Bengaluru in technology software. This role looks for around 8+ years of experience.

Skills

  • LLMs
  • AI agents
  • retrieval-augmented generation
  • Python
  • LangChain
  • Transformers
  • Ray
  • prompt engineering
  • fine-tuning
  • reinforcement learning from human feedback
  • solution architecture
  • enterprise AI deployment
  • pre-sales technical advisory

The role

A generative AI engineer at a software product company architects and deploys LLMs, AI agents, and retrieval-augmented generation for enterprise platforms, while shaping solution architecture and AI strategy for clients. The role also applies Python and LangChain to production AI workflows and enterprise deployment.

Full job description

Responsibilities:

Architect and implement advanced AI agent frameworks using LLMs (e. g. GPT, Claude, open-weight models).

Design end-to-end systems and solutions that integrate planning, memory, retrieval, and tool usage within AI agents.

Lead model evaluation, prompt engineering, fine-tuning, and RLHF efforts were necessary.

Collaborate with product and engineering teams to translate AI capabilities into platform features.

Partner with Sales, Product, and GTM to articulate AI strategy and solution architecture to enterprise clients.

Participate in pre-sales meetings, technical deep-dives, and AI innovation workshops with C-level stakeholders.

Translate customer needs into solution blueprints involving agents, LLMs, and AI workflows.

Represent the company in conferences, webinars, and thought-leadership forums as an AI expert.

Requirements:

PhD in Computer Science, Machine Learning, NLP, or related field.

7+ years of industry experience in AI/ML, with at least 2 years focused on LLMs and/or AI agents.

Strong programming skills in Python and experience with frameworks such as LangChain, Transformers, Ray, or similar.

Experience building production systems using LLMs (RAG, agentic workflows, orchestration, tool use, etc).

Exceptional communication skills and a proven ability to present complex ideas to technical and non-technical audiences.

Experience in client-facing roles or pre-sales technical advisory.

Experience with enterprise AI deployment (e. g., compliance, privacy, scalability).

Publications or public talks in AI, NLP, or agentic systems.

Contributions to open-source LLM/agentic frameworks.