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Senior Staff Engineer, AI

17 hours, 10 minutes ago
India
Full-time
Lead
AI Engineer
Software Development
CI/CD Computer Vision Django Docker FastAPI Kubernetes LLM Machine Learning MLOps Spring Boot
Apply Now
AlphaSense

AlphaSense

AlphaSense develops an artificial intelligence-based search platform that enables investment and corporate professionals to quickly access and analyze extensive financial data and market insights from over 500 million documents, enhancing decision-maki...

Internet Software & Services
251-1K
Founded 2011
$770M raised
View All Jobs 6

Description

  • Research, evaluate, and prototype AI solutions using large language models, computer vision, and other machine learning techniques.
  • Design and build scalable, cost-effective AI services and data processing pipelines for high-volume document processing.
  • Develop production systems that handle LLM latency, output variance, and reliability challenges.
  • Create prompt engineering strategies and fault-tolerant defensive systems for consistent AI performance.
  • Identify and implement state-of-the-art approaches for document classification, entity extraction, image search, and related problems.
  • Serve as the primary AI/ML technical authority for the content portfolio.
  • Mentor and guide a large engineering team as a technical thought leader.
  • Drive mission-critical initiatives from development into production.

Requirements

  • 10+ years of professional software engineering experience building complex, data-intensive backend systems.
  • 5+ years of experience building and scaling production-grade services with modern backend frameworks such as FastAPI, Django, Sanic, or Spring Boot.
  • 3+ years of hands-on experience across the full AI/ML lifecycle, from experimentation and prototyping through deployment, monitoring, and iteration in a high-volume cloud environment.
  • Strong experience designing large-scale distributed systems with asynchronous patterns, streaming, queuing, caching, and observability practices.
  • Exceptional communication and leadership skills, with the ability to influence engineering direction across teams without direct authority.
  • Experience with modern DevOps and MLOps practices, including CI/CD, Infrastructure as Code, and automated testing frameworks, is preferred.
  • Hands-on experience with Docker and Kubernetes is preferred.

Interested in this position?

Apply directly on the company website

Apply Now

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