Alphasense

Alphasense

Alphasense is a global leader in providing high-quality gas sensors and air quality monitors to industrial OEMs. With over 25 years of experience, the company offers a wide range of innovative gas sensor technologies for various applications, including...

Industrial Conglomerates
51-250
Founded 1996

Description

  • Research, architect, and pioneer solutions for extracting intelligent insights from unstructured documents and multimedia files.
  • Serve as the chief technical authority for AI innovation in the content portfolio.
  • Evaluate and prototype cutting-edge approaches using large language models, computer vision, and related techniques.
  • Design and build scalable, cost-effective AI services and data processing pipelines for high-volume document processing.
  • Develop fault-tolerant production systems that handle LLM latency, variance, and other operational challenges.
  • Create prompt engineering strategies and other defensive techniques to improve consistency in production AI workflows.
  • Lead efforts in document ingestion, classification, entity extraction, image search, and similar content intelligence capabilities.
  • Mentor engineers and act as a force multiplier for the broader engineering organization.
  • Drive mission-critical initiatives from architecture through production delivery.

Requirements

  • 14+ years of professional software engineering experience building complex, data-intensive backend systems.
  • 8+ years of experience building and scaling production-grade services with frameworks such as FastAPI, Django, Spring Boot, or similar.
  • Deep expertise in designing large-scale distributed systems.
  • Strong knowledge of asynchronous patterns, streaming, queuing, and caching strategies.
  • Experience with robust observability practices, including logging, metrics, and tracing.
  • Exceptional communication and leadership skills.
  • Ability to influence engineering direction across multiple teams without direct authority.
  • Hands-on experience across the full lifecycle of AI/ML models, from experimentation and prototyping to deployment, monitoring, and iteration in high-volume cloud environments. (Nice to have)
  • Proficiency with DevOps and MLOps practices, including CI/CD pipelines, Infrastructure as Code (IaC), and automated testing frameworks. (Nice to have)
  • Hands-on experience with Docker and Kubernetes. (Nice to have)

Benefits

  • AlphaSense offers an inclusive, equitable workplace committed to supporting and respecting all employees.
  • The company provides reasonable accommodation for qualified employees with protected disabilities, as required by applicable laws.
  • Employees work for a global company headquartered in New York City with offices across the U.S., U.K., Finland, India, Singapore, Canada, and Ireland.

Interested in this position?

Apply directly on the company website

Apply Now

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