Lead AI Platform Engineer

1 Month ago • All levels • $190,000 PA - $240,000 PA

Job Summary

Job Description

AlphaSense is seeking a passionate software engineer to join their AI & Search mission. This role involves architecting, designing, and implementing scalable services for AlphaSense AI and Search products. The engineer will also improve the reliability, latency, and cost-efficiency of AI and search services in cloud environments and deploy AI and Search services to both SaaS and single-tenant cloud environments. The engineer will collaborate with Product Management to translate product requirements into software architectures and solve challenges associated with large language models. This role also requires providing technical leadership and implementing best practices for software development.
Must have:
  • Strong software engineering skills in back-end engineering
  • Experience with back-end web frameworks like FastAPI, Django, Sanic
  • Experience in leading teams and/or projects
  • Excellent communication, organizational, problem-solving skills
  • Experience designing large-scale software systems
Good to have:
  • Familiarity with Kubernetes, Docker, and cloud platforms
  • Experience in deploying AI and search services
  • Knowledge of modern development practices
  • Experience in optimizing the performance of cloud services

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.

For base compensation, we set standard ranges for all US-based roles based on function and level 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 candidate experience/expertise and may vary from the amounts listed below. 

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

Compensation Range

$190,000 - $240,000 USD

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.

Recruiting Scams and Fraud

We at AlphaSense have been made aware of fraudulent job postings and individuals impersonating AlphaSense recruiters. These scams may involve fake job offers, requests for sensitive personal information, or demands for payment. Please note:

  • AlphaSense never asks candidates to pay for job applications, equipment, or training.
  • All official communications will come from an @alpha-sense.com email address.
  • If you’re unsure about a job posting or recruiter, verify it on our Careers page.

If you believe you’ve been targeted by a scam or have any doubts regarding the authenticity of any job listing purportedly from or on behalf of AlphaSense please contact us. Your security and trust matter to us.

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About The Company

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.

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