Artificial Intelligence Product Specialist

17 hours ago

Aligarh, Uttar Pradesh, India beBeeEngineer Full time ₹ 15,00,000 - ₹ 25,00,000
Job Overview

Pioneering the future of marketing by harnessing Artificial Intelligence to transform business workflows.

We aim to streamline decision-making, reduce manual effort, and empower marketers to achieve superior results with minimal intervention.

Our vision is powered by cutting-edge Agentic AI systems — intelligent agents designed to assist and execute complex marketing tasks at scale.

About the Position

As an AI/ML Engineer, you will play a pivotal role in designing, building, and optimizing intelligent systems that power our agentic marketing platform. You'll work on challenging problems at the intersection of applied machine learning, generative AI, and large-scale data systems.

  • Develop, train, and fine-tune ML models for tasks such as campaign optimization, audience prediction, and creative generation.
  • Build and scale AI agents that can reason, plan, and autonomously execute marketing workflows.
  • Work with frameworks like LangGraph, LlamaIndex, and Semantic Kernel, alongside modern ML libraries (PyTorch, TensorFlow).
  • Architect scalable data pipelines, integrate vector databases (Pinecone, Weaviate, Chroma), and experiment with RAG (Retrieval-Augmented Generation).
  • Deploy models and agents in production environments using cloud platforms (AWS/GCP/Azure) and observability tools (LangSmith, Langfuse).
  • Collaborate with cross-functional teams (Product, Design, Marketing) to translate business needs into AI-first solutions.

In this role, you'll be at the forefront of building production-grade AI systems that redefine digital marketing efficiency — turning complex ML advancements into tangible business outcomes.

Key Responsibilities
  • Design, build, and optimize intelligent systems for our agentic marketing platform.
  • Work on challenging problems at the intersection of applied machine learning, generative AI, and large-scale data systems.
  • Develop, train, and fine-tune ML models for various marketing tasks.
  • Build and scale AI agents that can execute marketing workflows autonomously.

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