Lead Full-Stack Engineer (AI)

2 Months ago • 5 Years + • Full Stack Development • $175,000 PA - $230,000 PA

Job Summary

Job Description

As a Lead Full-Stack Engineer (AI) at AlphaSense, you'll architect, design, and implement scalable services for AI and search products. You'll work on critical frontend and backend components, improving reliability, latency, and cost-efficiency in cloud environments (SaaS and single-tenant). Responsibilities include translating product requirements into software architectures, solving challenges with large language models, providing technical leadership, and implementing best practices. You'll collaborate with Product Management and other engineers to deliver solutions for AlphaSense's AI-powered search platform.
Must have:
  • 5+ years JavaScript (TypeScript) and GraphQL experience
  • Strong software engineering skills on complex, data-intensive applications
  • Proficiency in Python preferred
  • Experience with Kubernetes, Docker, and cloud platforms
  • Experience deploying AI and search services
Perks:
  • Performance-based bonus
  • Equity
  • Generous benefits program

Job Details

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Reports to:

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 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 on both frontend as well as backend.
  • Work on critical components of our AI product, both frontend and backend
  • 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:

  • 5+ years of deep hands-on experience with JavaScript (TypeScript) and GraphQL.
  • Strong software engineering skills on complex, data-intensive applications with professional, real-world experience with applications at scale
  • Proficiency in Python preferred
  • 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.
  • 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
  • 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.

 

Base Compensation Range*:  $175,000 - $230,000

Additional Components: You may also be offered a performance-based bonus, 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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