Senior AI Engineer

Job Description

AlphaSense is seeking a Senior AI Engineer to join their AI & Search team. The ideal candidate will be responsible for developing cutting-edge deep learning, NLP, search, and next-generation Generative AI platforms that power AlphaSense’s AI & Search product features. This role involves collaborating with talented engineers to deliver scalable solutions for the company's AI-powered search platform.

What this role involves:

• Architecting, designing, and implementing highly scalable services for AlphaSense AI and Search products.
• Improving the reliability, latency, and cost-efficiency of AI and search services in cloud environments.
• Deploying AI and Search services to both SaaS and single-tenant cloud environments.
• Translating product requirements into software architectures in collaboration with Product Management.
• Solving challenges that come along with working with large language models.
• Providing technical leadership and implementing best practices for software development.

Requirements:

• Strong software engineering skills in back-end engineering on complex, data-intensive applications.
• Proficiency 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., deep understanding of Prompt Engineering.
• 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.
• 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.