Senior/Staff Software Engineer - AI

Spartan Technologies, Inc.

$130K — $180K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • BS/MS/PhD in Computer Science, Engineering, or Information Technology; equivalent experience accepted
  • 2+ years as a technical leader for complex, mission-critical projects
  • 5+ years in software development focusing on scalability and performance
  • Proficient in Java and/or Python; familiar with IAC technologies such as Terraform
  • Experience building and deploying ML/LLM platforms for production at scale
  • Strong communication, leadership, and analytical skills

Responsibilities

  • Lead delivery of AI-powered products in a dynamic environment
  • Collaborate with AI researchers and cross-functional teams on market intelligence features
  • Serve as the LLMOps thought leader to drive innovation and efficiency
  • Develop platforms to expedite the launch of AI products
  • Create scalable and reliable data pipelines utilizing ML models
  • Architect and implement highly scalable backend services for Search & AI products
  • Deploy services to single-tenant cloud environments

Benefits

  • Hybrid work schedule
  • Collaborative team environment
  • Opportunity to work on cutting-edge AI technology
  • Focus on professional growth and leadership development
  • Engagement with leading AI researchers and product professionals
Full Job Description
Location: New York, NY (Hybrid Schedule)
We are seeking a passionate Senior / Staff Software Engineer with extensive experience in architecting and building highly scalable & complex backend systems to join our AI Platform team within the Search & AI Platform org. The Search & AI team develops the next generation of Search infrastructure and AI platform, and owns the platform and services powering Company's Search & AI product features. The AI Platform team is responsible for building the ML platform to streamline and manage the deployment of ML/LLM models in production and build the backend (data pipelines, services, etc.) to allow these ML/LLM models to power product features. You will work alongside a team of talented engineers to incept and deliver innovative and scalable solutions for our world-class AI-powered search platform.

Requirements
  • A BS/MS/PhD degree in a relevant technical discipline such as Computer Science, Engineering or Information Technology is highly desired, but equivalent experience will be considered as well.
  • 2+ years of experience as a technical leader responsible for delivering large and/or complex mission-critical initiatives.
  • 5+ years of software development experience with designing and building complex, scalable, high-performing, and robust applications. Familiarity with Kubernetes, Docker, and cloud platforms such as AWS, Azure or GCP.
  • Proficient in Java and/or Python, and familiar with IAC technologies such as Terraform and Crossplane.
  • Experience in producing high-quality software designs to support long-term maintainability and extensibility of systems and code.
  • Experience in MLOps/LLMOps building and/or deploying ML/LLM platforms that host /manage multiple ML/LLM models in production at scale.
  • An excellent communicator with strong leadership, organizational, problem-solving, debugging and analytical skills.

Responsibilities

  • Lead delivery of cutting-edge AI-powered products in a fast paced environment.
  • Partner with AI researchers, product managers, designers and other engineering teams to build best-in-class market intelligence features.
  • Be the thought leader and domain expert for all things LLMOps for the company and drive innovation and efficiency for the company in this area.
  • Build platforms to help the company accelerate the launch of new and improve existing AI-powered products.
  • Build scalable and reliable data pipelines and services that incorporate the use of ML models to solve complex business problems.
  • Architect, design and implement highly scalable backend services powering the company Search & AI products.
  • Deploy owned services to single tenant cloud environments.
Provide technical leadership to implement best practices for software development.

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