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AI Platform Software Engineer - New York New York
Company: AlphaSense Location: New York, New York
Posted On: 11/12/2024
Location: New York, NY About AlphaSense: The world's most sophisticated companies rely on AlphaSense to remove uncertainty from decision-making. With market intelligence and search built on proven AI, AlphaSense delivers insights that matter from content you can trust. Our universe of public and private content includes equity research, company filings, event transcripts, expert calls, news, trade journals, and clients' own research content. Our platform is trusted by over 4,000 enterprise customers, including a majority of the S&P 500. Founded in 2011, AlphaSense is headquartered in New York City with over 1,500 people across the globe and offices in the U.S., U.K., Finland, India, and Singapore. Come Join Us! About the Team: Our diverse Product & Engineering team values innovation, collaboration, and the continuous improvement of our platform. We offer a dynamic work environment where employees can grow and thrive while working on cutting-edge technology that shapes the future of AI and search. At AlphaSense, we believe that diverse experiences and perspectives are critical to our success. We are committed to creating an inclusive workplace where all employees feel valued and empowered to be their authentic selves. About the Role: AlphaSense is seeking a passionate software engineer to join our AI & Search Platform team. This team is responsible for developing the next-generation Generative AI platform powering AlphaSense's AI & Search product features. As part of this team, you will collaborate with talented engineers to deliver scalable solutions for our world-class AI-powered search platform. What You'll Do: - Architect, design, and implement highly scalable backend services for AlphaSense AI and Search products.
- Improve the reliability, latency, and cost-efficiency of AI and search services in cloud environments.
- Deploy AI and Search services to single-tenant cloud environments.
- Translate product requirements into software architectures in collaboration with Product Management.
- Solve challenges that come along with working with large language models (high latency, variance, etc.), leading to a defensive, fault-first mindset.
- Provide technical leadership and implement best practices for software development.
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