AI Platform Engineer

About Alpha Sense:

The world’s most sophisticated companies rely on Alpha Sense to remove uncertainty from decision‑making. With market intelligence and search built on proven AI, Alpha Sense 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 Alpha Sense in 2024 advances our shared mission to empower professionals to make smarter decisions through AI‑driven market intelligence. Together, Alpha Sense 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 6,000 enterprise customers, including a majority of the S&P 500.

Founded in 2011, Alpha Sense 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!

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 Alpha Sense, 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.

Alpha Sense 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 Alpha Sense’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.

• Architect, design, and implement highly scalable services for Alpha Sense 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.

• 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 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…