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Lead Software Engineer, Generative Apps
Zeta Global
Software Engineering
Bengaluru, Karnataka, India
Posted on Nov 18, 2025
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
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Set technical direction and architect multi-tenant GenAI platform systems
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Lead the development of secure, scalable platforms and developer tooling for agentic coding and experimentation
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Integrate generative AI frameworks, LLMs, and evaluation platforms into enterprise-grade solutions
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Solve complex technical challenges, ensuring reliability, security, and performance at scale
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Mentor engineers and collaborate with Research, Product, and Engineering teams to deliver impactful solutions
Qualifications
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6+ years engineering experience; proficient in C#, Java, JavaScript, Go, or Python
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Experience with generative AI, large language models (LLMs), and cloud infrastructure
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Familiarity with GenAI platform technologies (MCP, LangGraph, OpenAI, Bedrock)
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Strong architecture, design, and problem-solving skills with a focus on security and reliability
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Proven ability to mentor engineers and influence architectural decisions
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