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Principal AI Platform Engineer

1 hour, 36 minutes ago
India
Full-time
Lead
AI Engineer
Software Development
CI/CD Kubernetes Microservices
Apply Now
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
View All Jobs 147

Description

  • Design and implement distributed systems that support AI agents processing thousands of requests per hour with strong reliability, performance, and cost efficiency.
  • Establish testing strategies, observability systems, and CI/CD pipelines that prevent issues from reaching customers.
  • Mentor and lead a team of engineers while sharing best practices for building production systems.
  • Own the technical roadmap for the AI platform and make long-term architectural decisions.
  • Collaborate with ML engineers and researchers to productionize AI capabilities while maintaining system stability.
  • Reduce incidents and improve how software is built and operated across the engineering organization.
  • Build platforms and engineering standards that help other engineers ship faster and safer.

Requirements

  • 12+ years of experience building and operating distributed systems in production.
  • Proven ability to improve system reliability, including moving services from frequent outages to 99.9%+ uptime.
  • Deep experience with microservices, Kubernetes, and infrastructure as code.
  • Experience leading technical initiatives and mentoring engineering teams.
  • Strong coding skills and ability to work across the stack.
  • Excellence in debugging production issues and implementing comprehensive observability.
  • History of making pragmatic trade-offs between ideal solutions and shipped solutions.
  • Experience with LLM applications, agent frameworks, or AI/ML infrastructure (preferred).
  • Familiarity with prompt engineering, RAG patterns, and vector databases (preferred).
  • Background at high-growth companies or modern engineering cultures (preferred).
  • Experience with multi-model AI systems such as OpenAI, Anthropic, or Google models (preferred).

Interested in this position?

Apply directly on the company website

Apply Now

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