Senior AI Engineer

Benefits

Parental leave

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Market context

Median wage (BLS OEWS)

$111,944 national median

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

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Weekend work

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About this role

Senior AI Engineer Hyderabad Hyderabad, On-site, Full Time with 5+ years experince Who We Are Yuno is a leader in payment orchestration, building the infrastructure that powers frictionless, global transactions for modern businesses. Our mission is to simplify and revolutionize how payments move; enabling merchants, consumers, and partners to operate with flexibility, intelligence, and trust. We're entering a new chapter: infusing artificial intelligence across Yuno's products and internal operations. We aim to design intelligent systems that create exponential efficiency, enhance user experiences, and unlock new sources of revenue. Shape your future with Yuno! We are seeking a Senior AI Engineer to architect, build, and scale AI-powered systems that redefine how Yuno operates and innovates. This role goes beyond building models; it's about designing agentic systems, AI-assisted workflows, and data-driven decision engines that help the company scale faster than headcount. You will be at the forefront of developing the next generation of autonomous systems that power both customer-facing products and internal operations, from optimizing payment experiences to accelerating development, testing, troubleshooting, and product creation. How Yuno will challenge you AI Product Architecture & Development • Architect, build, and deploy LLM-powered applications that augment and automate key workflows across Yuno, from customer service and new product development to internal agentic workflows that optimize critical company processes. • Design autonomous AI systems that can execute technical analysis, testing, troubleshooting, and decision-making at scale. • Develop AI-driven tools that create measurable business impact, improving efficiency, accelerating innovation, and driving revenue growth. Operational Intelligence &

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