Lead AI Platform Engineer

4 Months ago • All levels • Full Stack Development • Artificial Intelligence • $190,000 PA - $240,000 PA

Job Summary

Job Description

AlphaSense seeks a Lead AI Platform Engineer to architect, design, and implement scalable services for its AI and Search products. Responsibilities include improving reliability, latency, and cost-efficiency of AI and search services in cloud environments; deploying services to SaaS and single-tenant cloud environments; translating product requirements into software architectures; solving challenges related to large language models; providing technical leadership; and implementing best practices for software development. The ideal candidate possesses strong back-end engineering skills, experience with large-scale systems, familiarity with Kubernetes, Docker, and cloud platforms, and expertise in deploying AI and search services. Experience leading teams and projects in a full-stack environment is crucial.
Must have:
  • Strong back-end engineering skills
  • Experience with large-scale systems
  • Expertise in deploying AI/search services
  • Leadership and team management skills
  • Proficiency with cloud platforms (AWS, GCP, Azure)
  • Knowledge of Kubernetes and Docker

Job Details

Lead AI Platform Engineer
Location: New York, NY

About AlphaSense: 

AlphaSense is a market intelligence platform used by the world’s leading companies and financial institutions. Since 2011, our AI-based technology has helped professionals make smarter business decisions by delivering insights from an extensive universe of public and private content—including company filings, event transcripts, news, trade journals, and equity research. Our platform is trusted by over 5,000 enterprise customers, including a majority of the S&P 500. Headquartered in New York City, AlphaSense employs over 1,500 people across offices in the U.S., U.K., Finland, and India. For more information, please visit www.alpha-sense.com.

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.

AlphaSense is an equal opportunity employer. We are committed to a work environment that supports, inspires, and respects all individuals. All employees share in the responsibility for fulfilling AlphaSense’s commitment to equal employment opportunity. AlphaSense does not discriminate against any employee or applicant on the basis of race, color, sex (including pregnancy), national origin, age, religion, marital status, sexual orientation, gender identity, gender expression, military or veteran status, disability, or any other non-merit factor. This policy applies to every aspect of employment at AlphaSense, including recruitment, hiring, training, advancement, and termination.

In addition, it is the policy of AlphaSense to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations, and ordinances where a particular employee works.

Compensation Range*: $190,000 - $240,000

Additional Components: You may also be offered equity, and a generous benefits program.

*For base compensation, we set standard ranges for all US-based roles based on function, level and geographic location, benchmarked against similar stage growth companies and internal comparables. In order to be compliant with local legislation, as well as to provide greater transparency to candidates, we share salary ranges on all job postings regardless of desired hiring location. Final offer amounts are determined by multiple factors including geographic location as well as candidate experience/expertise and may vary from the amounts listed above.

 

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