Staff Data Platform Engineer

Our Purpose At Fiddler, we understand the implications of AI and the impact that it has on human lives. Our company was born with the mission of building trust into AI. The rise of Generative AI and Agents has unlocked generalized intelligence but also widened the risk aperture and made it harder to ensure that AI applications are working well. Fiddler enables organizations to get ahead of these issues by helping deploy trustworthy, and transparent AI solutions. Fiddler partners with AI-first organizations to help build a long-term framework for responsible AI practices, which, in turn, builds trust with their user base. AI Engineers, Data Science, and business teams use Fiddler AI to monitor, evaluate, secure, analyze, and improve their AI solutions to drive better outcomes. Our platform enables engineering teams and business stakeholders alike to understand the "what", “why”, and "how" behind AI outcomes. Our Founders Fiddler AI is founded by Krishna Gade (engineering leader at Facebook, Pinterest, Twitter, and Microsoft) and Amit Paka (product leader at Microsoft, Samsung, Paypal and two-time founder). We are backed by Insight Partners, Lightspeed Venture Partners, and Lux Capital. Why Join Us Our team is motivated to help build trust into AI to enable society harness the power of AI. Joining us means you get to make an impact by ensuring that AI applications at production scale across industries have operational transparency and security. We are an early-stage startup and have a rapidly growing team of intelligent and empathetic doers, thinkers, creators, builders, and everyone in between. The AI and ML industry has a rapid pace of innovation and the learning opportunities here are monumental. This is your chance to be a trailblazer. Fiddler is recognized as a pioneer in the field of AI Observability and has received numerous accolades, including: 2022 a16z Data50 list, 2021 CB Insights AI 100 most promising startups, 2020 WEF Technology Pioneer, 2020 Forbes AI 50 most promising startups of 2020, and a 2019 Gartner Cool Vendor in Enterprise AI Governance and Ethical Response. By joining our brilliant (at least we think so) team, you will help pave the way in the AI Observability space. 👩🏽‍🚀 THE MISSION: Our Staff Data Platform Engineers make a real impact on the safety and ROI of large language models and agentic applications across different verticals and domains. You will work on the cutting edge of envisioning and building new types of tools and algorithms to monitor, explain, and improve such applications and in turn empower our customers. 🪐 ABOUT THE TEAM: Our engineering team is a dynamic group of builders and thinkers dedicated to solving some of the most cutting-edge challenges in AI safety and reliability. Working on exciting and an expansive range of topics, from the responsible deployment of machine learning models, large language models (LLMs), to complex agentic applications. Our projects are inherently cross-disciplinary, requiring expertise in systems engineering, product engineering, and data science to build robust, scalable solutions. We thrive in a collaborative environment where continuous learning is at the forefront, ensuring every team member stays on their toes with the latest advancements in AI. Joining our team means you'll have the opportunity to make a tangible impact on how AI evolves for the benefit of humanity. 🚀 WHAT YOU’LL DO: - Design and build core services and components of a world-class cloud platform to help enterprises develop, monitor and improve their full suite of AI based applications (covering predictive models, LLMs, GenAI models and agentic applications) - Lead the design and implementation of distributed systems and microservices that compute, persist, and expose new ML + agentic observability metrics (e.g., response relevancy, hallucination scores) from raw trace data - Design enterprise-grade, scalable data infrastructure, services and APIs to support enterprise scale workloads and meet compliance needs and SLAs - Spearhead the development of new types of metrics and evaluation capabilities to satisfy evolving customer needs. Take part in conversations with customers around discovery and support - Define and evolve the operational maturity (reliability, latency, SLOs, observability) of core services, establish best practices and champion improvements to internal CI/CD processes, testing frameworks, error handling, efficiency and resiliency - Team & Culture Building: you will take an active role in building a world-class engineering team and actively participate in the talent acquisition process through interviewing, candidate evaluation and coaching 🎯 WHAT WE’RE LOOKING FOR: - Masters or Bachelors degree in Computer Science or related field, combined with 7+ years of industry experience, with demonstrated solid foundation in software development. - Deep proficiency with Python and a strong command of essential backend technologies like Postgres, Redis,…