About the company
Zamp is a financial technology company with a bold vision of reimagining the future of finance. Finance teams globally face manual, repetitive, and cumbersome tasks. We at Zamp want to empower them with time, calm, money, and joy, tackling harder problems. We foresee four key themes shaping the finance org of the future: Increased Connectivity: Fragmentation across banks, partners, and platforms complicates finance. We envision a seamlessly connected future, abstracting away complexity for real-time data access. AI Automation: Manual tasks like data transformation and reconciliation will be automated by intelligent AI agents, allowing teams to focus on strategic endeavours. Democratized Intelligence: AI-driven insights will be universally accessible, empowering better and faster decision-making, leading to exponential growth for companies. Evolving Financial Infrastructure: Regulatory-compliant advancements like real-time payments and blockchain technology will revolutionize financial exchange, driving efficiency and adaptation. Zamp, founded in 2022 by our experienced leader - Amit Jain, an IIT Delhi and Stanford graduate, and industry veteran with over 20 years of experience, previously held significant roles including Managing Director at Sequoia Capital and Head of Asia Pacific at Uber. Our seed funding round raised ~$22Mn from Sequoia Capital, Dara Khosrowshahi (CEO, Uber), Tony Xu (CEO, Doordash), Marcelo Claure (ex-CEO, Softbank International), and other prominent angel investors. At Zamp, we are excited about what the future holds. We are a team of dreamers, builders, product thinkers building for the new world!
Job Summary
What We’re Looking For
📍you'll fine-tune and optimize open-source and custom models (LLMs, vision, speech) to meet real-world latency, throughput, and cost targets. 📍You’ll work side-by-side with leading ML/AI Engineers, sometimes on-site, writing integration code, architecting pipelines, and crafting AI solutions tailored to specific use cases. 📍Every customer is different, and every week brings new domains, systems, and technical challenges. 📍From CI/CD for models to finely tuned inference endpoints, you’ll solve problems that only emerge in production. 📍This role is perfect for entrepreneurial engineers who thrive in zero-to-one environments. 📍You’ll design, build, and deploy features across the stack, from front-end interfaces to infrastructure. 📍Rapidly experiment to meet evolving customer needs, and help shape the culture, processes, and product roadmap of a fast-moving team.
Required:
📍2+ years of experience in software engineering or AI infrastructure. 📍Strong engineering fundamentals (Python preferred). 📍Experience with cloud-based systems and deploying ML models in production. 📍Experience working directly with Large enterprise customers. 📍Familiarity with LLMs, vector databases, RAG & fine-tuning AI models. 📍Prior startup, founder, or solutions engineering experience.
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