Bengaluru, Karnātaka, India
Live, first seen by us 84 days agoHelp us build the next generation of AI-first analytics — tools that let anyone explore data insights, visualize results instantly, and understand the “why” behind the numbers.
Build React interfaces for exploring metrics, comparing trends, and viewing causal drivers
Connect front-end workflows to agentic pipelines that query, aggregate, and explain
Design FastAPI endpoints that return summaries, charts, and AI diagnostics
Define success metrics and run tests to improve model-driven insights
Show the queries, data sources, and assumptions behind each result
Help us build the next generation of AI-first analytics — tools that let anyone explore data insights, visualize results instantly, and understand the “why” behind the numbers. You’ll work across the stack, from React dashboards to analytical APIs, with a focus on insight delivery, data storytelling, and evidence-based decision-making. You’ll bridge UX, data, and AI so that human questions become data-grounded answers in seconds.
build intuitive React interfaces for exploring data, comparing metrics, and visualizing trends and causal drivers
connect front-end workflows to agentic pipelines that query, aggregate, and explain
design FastAPI endpoints that return summaries, charts, and AI-powered diagnostics ready for human review or automation
define success metrics such as relevance and latency; run tests to improve model-driven insights
surface the underlying queries, data sources, and assumptions behind each result
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- Analytical APIs (e.g. FastAPI), data validation, and async retrieval. - SQL / data modeling for metrics computation, and time series analysis. - LLM/agent analytics (prompt design, RAG, evaluation, grounding).
- Familiarity with experiment frameworks, metrics stores, or statistical testing. - Experience in software deployment (e.g. Kubernetes). - Familiarity with DevOps workflows, including automated testing pipelines, secret management, and maintaining high-availability cloud environments
- Integrate AI-assisted analysis: connect front-end workflows to agentic pipelines that query, aggregate, and explain. - Develop insight APIs: design FastAPI endpoints that return summaries, charts, and AI-powered diagnostics ready for human review or automation. - Evaluate analytical quality: define success metrics such as relevance and latency; run tests to improve model-driven insights.
- React for data visualization and interactive exploration. - Analytical APIs (e.g. FastAPI), data validation, and async retrieval. - SQL / data modeling for metrics computation, and time series analysis.
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New AI Engineer postings at the employers we follow are up 134% over the last 6 weeks compared with the 6 before.
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We file this job under AI Engineer, by the work the posting describes.
AI engineers build products on top of AI models that already exist, most often large language models: they connect a model to a company's data and tools and ship the assistants, agents and search features people use.
Postings ask for strong Python or TypeScript, experience with model APIs, retrieval and agent frameworks, and ways to test whether the model's answers are good enough.
An ML engineer trains and serves models; an AI engineer usually starts from a model someone else trained and builds the product around it, though titles often mix the two.
At eBay, we're more than a global ecommerce leader — we’re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We’re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts.
Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work — every day. We're in this together, sustaining the future of our customers, our company, and our planet.
Join a team of passionate thinkers, innovators, and dreamers — and help us connect people and build communities to create economic opportunity for all.
Analytics is undergoing a fundamental shift, from traditional data science toward AI-driven analytics product development. As business intelligence evolves into intelligent, AI-powered tooling, we are looking for someone eager to help lead this transformation.
This role sits at the intersection of analytics, product, and AI. You will play a key part in reimagining our Business Intelligence ecosystem as a suite of AI-native applications, stepping into the role of an AI Analytics Product Manager.
We are building toward a future where business and product teams can diagnose performance, uncover insights, and take action through AI-enabled experiences. If you’re motivated to move beyond analysis into productizing intelligence and want to shape how eBay interacts with data in the AI era, this is an opportunity to be at the forefront of that journey.
Help us build the next generation of AI-first analytics — tools that let anyone explore data insights, visualize results instantly, and understand the “why” behind the numbers. You’ll work across the stack, from React dashboards to analytical APIs, with a focus on insight delivery, data storytelling, and evidence-based decision-making. You’ll bridge UX, data, and AI so that human questions become data-grounded answers in seconds.
Analysts and stakeholders can ask complex questions in plain English, see grounded, visualized answers within seconds, and trust the insights enough to act on them. The product reduces time-to-decision, increases data confidence, and becomes a daily habit for decision-makers.
Additional Details
eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at talent@ebay.com. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities.
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Bengaluru, Karnātaka, India
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