Lead Software Engineer, Generative Apps

2 weeks ago


Bengaluru, Karnataka, India Zeta Global Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Zeta Global is a leading AI-powered marketing technology company transforming how enterprises connect with customers. By combining one of the industry's largest proprietary identity datasets with cutting-edge AI, we help brands acquire, grow, and retain their best customers. Founded in 2007 and based in New York City, Zeta offers a cloud-native omnichannel marketing platform (ZMP) that unifies data, identity, intelligence, and activation across all digital channels. We serve clients across industries—from financial services to retail, travel, telecom, and beyond. As a publicly traded company (NYSE: ZETA), Zeta continues to scale through innovation in AI, identity graphs, and enterprise-grade marketing solutions.

As a Lead Software Engineer on our AI Platform Team, you will drive the design and development of the next generation of agentic, reliable, and scalable GenAI platforms supporting state-of-the-art large language models, evaluation systems, and secure developer tooling. You will play a key role in shaping technical direction, ensuring architectural excellence, and mentoring peers while collaborating across the company to infuse AI into real-world production solutions.

Responsibilities
  • Set technical direction and architect multi-tenant GenAI platform systems

  • Lead the development of secure, scalable platforms and developer tooling for agentic coding and experimentation

  • Integrate generative AI frameworks, LLMs, and evaluation platforms into enterprise-grade solutions

  • Solve complex technical challenges, ensuring reliability, security, and performance at scale

  • Mentor engineers and collaborate with Research, Product, and Engineering teams to deliver impactful solutions

Qualifications
  • 6+ years engineering experience; proficient in C#, Java, JavaScript, Go, or Python

  • Experience with generative AI, large language models (LLMs), and cloud infrastructure

  • Familiarity with GenAI platform technologies (MCP, LangGraph, OpenAI, Bedrock)

  • Strong architecture, design, and problem-solving skills with a focus on security and reliability

  • Proven ability to mentor engineers and influence architectural decisions

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