Senior AI Engineer

Position Overview

AlphaSense is seeking a passionate Senior AI Engineer to join our AI & Search mission. This cluster of teams is responsible for developing cutting-edge deep learning, NLP, search, and next-generation Generative AI platforms 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.

Responsibilities

• 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.

Requirements

• Strong software engineering skills in back-end engineering on complex, data-intensive applications with professional, real-world experience with applications at scale.
• Extremely proficient in Applied LLM/NLP, developing and deploying solutions using NLP frameworks like LangChain, HuggingFace, and back-end web frameworks like FastAPI.
• Hands-on experience building and deploying Open Source and Commercial LLMs like Llama, Claude, etc., with a deep understanding of Prompt Engineering.
• Deep, hands-on experience across 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, including 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.

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!

Company Culture & Equal Opportunity

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.

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