Artificial intelligence engineer

About ZET:At ZET, we believe that passion fuels those who shape the world. Our team is on a mission to make a real impact by driving financial inclusion and accessibility across Bharat. With over 500 million online users in underserved regions, we are building an ecosystem that connects consumers to trusted financial solutions that were once out of reach. Empowered by technology and trust, we are making financial services more affordable and within reach for the next billion Indians.Through our ZET platform (B2 C), we focus on empowering individuals, especially those new to credit (NTC) or with low credit scores, to build and improve their CIBIL scores. One of our key offerings is the Magnet FD Credit Card, co-branded with SBM. The Magnet card plays a pivotal role in helping users from Tier 2, 3, and 4 cities boost their credit scores. By providing insights & solutions into their creditworthiness, consumers are empowered to make informed financial decisions, unlocking opportunities for loans, mortgages and greater financial stability.On our ZET Partner (B2 B) platform, we connect communities in Tier 3 and 4 cities to a wide network of financial brands and credit products. By leveraging a trusted network of agents, we bridge the gap between consumers and top banks, making financial services more accessible and tailored to the specific needs of these underserved markets.In March 2022, we proudly raised $13 M in our Series A funding, bringing our total funding to $18 M. We’re fortunate to be backed by renowned investors like General Catalyst, Nexus, Sequoia Surge, Waterbridge, and other leading angel investors. What began in 2019 with just two people has now grown into a spirited team, united by a common mission to drive fintech innovation for Bharat.Problems we are solvingLack of Awareness: Many consumers, especially those in Tier 3/4 cities, are unaware of how to improve their CIBIL score and the credit solutions available for the same.Reaching Bharat: Consumers in Tier 3 & 4 cities often struggle to access essential financial services and opportunities due to limited reach and availability from financial institutions and banks.Trust: The trust deficit in rural areas hinders the adoption of modern fintech solutions, creating barriers to financial inclusion.The rise of ZETApril 2019, Founded by Manish Shara & Yash DesaiAugust, 2020, Raised Seed Funding led by Waterbridge VenturesJuly 2021, Raised $5 M led by Sequoia’s Surge, Nexus Venture Partners & renowned Angel investors.March 2022, Raised $13 M in Series A round led by General Catalyst & renowned Angel investors.Angel Investors who trust our missionKunal Shah - Co Founder, CREDKalyan Krishnamurthy- CEO FlipkartHarshil Mathur - Co Founder, RazorpayVidit Aatrey - Founder & CEO, MeeshoSujeet Kumar - Co Founder, UdaanLalit Keshre - CEO, GROWWGaurav Munjal - Co-founder & CEO, UnacademyAakrit Vaish - Co-founder & CEO, HaptikJitendra Gupta - Founder, JupiterAmrish Rau - CEO Pine LabsGokul Rajaram - Product & Business, DoordashWhy ZETHigh-end TechnologyMake in IndiaAccelerated GrowthBuild for next Billion usersFast pace & InnovationOpportunity to ThriveResponsibilities:Own the design and implementation of AI-driven workflows to boost productivity across teams.Start with QA: build pipelines that take PRDs → generate test cases → convert to automated test scripts → integrate with CI/CD.Expand to other functions (Dev, Product, HR, Finance, Legal, Marketing) with reusable AI-driven automation patterns.Work closely with engineering, product, and QA leads to identify high-impact automation opportunities.Balance experimentation (POCs) with production readiness (scalable, maintainable systems).Translate product requirements, QA docs, and workflows into AI-powered automation pipelines.Develop prompting, evaluation, and orchestration flows (Lang Chain, Llama Index, or custom).Connect LLM outputs to real systems (e.g., generate Playwright/Selenium tests, integrate with Git Hub CI/CD).Set up evaluation + monitoring for AI workflows (accuracy, reliability, cost).Collaborate with cross-functional teams to expand AI use cases beyond QA.Build internal AI tooling that other engineers and business teams can reuse.Requirements2–4 years total experience:1–2 years in SWE (backend, full-stack, or QA automation).1+ years applied AI/LLM experience (side projects, open source, or production use).Hands-on experience with at least one QA automation framework (Selenium, Playwright, Appium, etc.).Comfort with Python/Java/Java Script and modern dev practices (Git, CI/CD, cloud).Familiarity with LLM APIs (Open AI, Anthropic, etc.) and frameworks (Lang Chain, Llama Index).Ability to think end-to-end: from prototype to production.Startup mindset: scrappy, hands-on, comfortable with ambiguity, bias for shipping.Accustomed to dealing with ambiguity in a fast-paced environmentProven ability to collaborate successfully across cross functions.