Senior AI Engineer

Material • Creative Agencies • Branding • Python • 1 day ago
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Salary
≈ $17k – $34k per year (Estimated)
Location
In office (Bengaluru, Gurgaon)
Seniority
Senior · 4+ years exp

First seen by Alion on Oct 22, 2026.

Overview
Company
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Profile match

Material

Material is a growth consultancy that combines customer insights with design, go-to-market and digital experience services for ambitious businesses and leading brands. Its teams include the brand design studio Aruliden, and it hires architects, AI context engineers, brand designers, paid media managers and insights leaders in New York, Los Angeles and Austin. The company is based in the United States.
materialplus.io • Gurgaon • New York • Los Angeles • London • Austin • Branding • Market Research • Creative Agencies • 501-1000 employees
Tech stack of Material

We are looking for a Senior AI Engineer with strong hands-on experience in agentic AI systems and SAP Joule AI to build and scale intelligent applications. The ideal candidate will be responsible for developing robust AI solutions that integrate seamlessly into enterprise environments.


Responsibilities:

  • Design and implement agentic AI workflows and intelligent agents.
  • Integrate AI solutions with SAP Joule for enterprise use cases.
  • Develop and optimize LLM-based applications (chatbots, copilots, and automation tools).
  • Build and maintain RAG pipelines and vector-based retrieval systems.
  • Collaborate with product and engineering teams to deliver scalable AI solutions.
  • Conduct testing, debugging, and performance tuning of AI systems.


Requirements:

  • 4-7+ years of experience in AI/ML or software development.
  • Strong experience with agentic AI frameworks (LangChain, CrewAI, AutoGen, etc. ).
  • Hands-on experience with SAP Joule AI (mandatory).
  • Proficiency in Python and AI development tools.
  • Experience working with LLM APIs and open-source models.
  • Understanding of prompt engineering, embeddings, and vector databases.
  • Familiarity with REST APIs and microservices architecture.


Good to Have:

  • Exposure to the SAP ecosystem and enterprise applications.
  • Experience with cloud platforms (AWS, Azure, GCP).
  • Knowledge of DevOps and CI/CD pipelines for AI systems.

Skills

AutoGen, CrewAI, LLM, LangChain, Python, RAG, SAP Joule, agentic AI, embeddings, vector database

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