Senior AI Engineer

Job Description

About AlphaSense: . ! About the Role: 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 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 Extremely proficient in Applied LLM/NLP, developing and deploying solutions using NLP frameworks like LangChain, HuggingFace, back-end web frameworks like FastAPI Hands on experience building and deploying Open Source and Commercial LLMs like Llama, Claude etc., deep understanding of Prompt Engineering 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. 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.