Staff Generative AI Engineer

5 Hours ago • All levels • $190,000 PA - $240,000 PA

Job Summary

Job Description

The Staff Generative AI Engineer role at AlphaSense involves designing and implementing scalable services for AI-powered search products. Responsibilities include improving reliability and cost-efficiency of AI services in cloud environments, translating product requirements into software architectures, and providing technical leadership. The role requires solving challenges related to large language models and deploying AI and search services to both SaaS and single-tenant cloud environments. The team values innovation and collaboration in a dynamic work environment.
Must have:
  • Strong back-end engineering skills on complex data applications.
  • Hands-on experience with back-end web frameworks.
  • Experience in leading teams and projects.
  • Excellent communication and problem-solving skills.
  • Experience designing large-scale software systems.
Good to have:
  • Familiarity with Kubernetes, Docker, and cloud platforms (AWS, GCP, or Azure).
  • Experience in deploying AI and search services to single-tenant cloud environments.
  • Knowledge of modern development practices, including CI/CD pipelines.

Job Details

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.

The acquisition of Tegus by AlphaSense in 2024 advances our shared mission to empower professionals to make smarter decisions through AI-driven market intelligence. Together, AlphaSense and Tegus will accelerate growth, innovation, and content expansion, with complementary product and content capabilities that enable users to unearth even more comprehensive insights from thousands of content sets. 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 more than 2,000 employees across the globe and offices in the U.S., U.K., Finland, India, Singapore, Canada, and Ireland. 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 mission. This cluster of teams 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 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 both SaaS and 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.

Who You Are:

  • Strong software engineering skills in back-end engineering on complex, data-intensive applications with professional, real-world experience with applications at scale
  • Deep, hands-on experience across a few back-end web frameworks like FastAPI, Django, Sanic etc
  • Experience in leading teams and/or projects in a full-stack environment
  • Excellent communication, organizational, problem-solving, debugging, and analytical skills.
  • Experience designing large-scale software systems and writing high-quality code and tests. Which includes handling error cases, asynchronous code, streaming data, caching, logging and analytics for understanding behavior in production.
  • Familiarity with Kubernetes, Docker, and cloud platforms such as AWS, GCP, or Azure.
  • Experience in deploying AI and search services (e.g. vector search) to single-tenant cloud environments.
  • Knowledge of modern development practices, including CI/CD pipelines and automated testing frameworks.
  • Experience in optimizing the performance and cost of cloud services.

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