About The Position

Build full-stack, real-time applications that integrate advanced analytics capabilities—including predictive models, large language models (LLMs), and vector search—into complex real-time applications on Google Cloud Platform (GCP). This is a six-month, 100% remote position.

Requirements

  • At least 8 years of software industry experience, including at least 4 years as a technical leader.
  • At least 8 years of requirements analysis and estimation within a formal SDLC.
  • At least 8 years of experience with Python and Java.
  • At least 5 years leading technical architecture initiatives impacting multiple value streams.
  • At least 5 years designing and developing high-load real-time distributed systems.
  • At least 5 years architecting solutions in GCP.
  • At least 5 years of experience with microservices architecture, APIs, and real-time system integrations.
  • At least 3 years building machine learning models, deploying them in production, and integrating them with real-time applications.
  • At least 2 years of hands-on experience building LLM pipelines using OCR and models such as Gemini and GPT-4.
  • At least 2 years of hands-on experience building UI components with React JS or Angular.
  • Bachelor's degree in Computer Science or a closely related discipline.
  • Strong architectural skills, including diagramming.
  • Ability to manage competing priorities with minimal supervision; self-directed.
  • Excellent communication and presentation skills, including visual, verbal, and written communication with teams, clients, and leadership.

Nice To Haves

  • Master's degree.
  • Experience building and operating large-scale real-time applications.
  • Knowledge of GCP architecture and commands, and experience designing and optimizing software and data engineering patterns.
  • Knowledge of best practices for current LLM models.
  • Software or analytics experience in the healthcare industry.
  • Experience building large-scale CI/CD and DevOps pipelines.
  • Experience with security-oriented projects.

Responsibilities

  • Build full-stack real-time applications integrating predictive models, LLMs, and vector search.
  • Lead technical architecture initiatives that affect multiple value streams.
  • Design and develop high-load real-time distributed systems.
  • Architect solutions on GCP.
  • Build machine learning models, deploy them to production, and integrate them with real-time applications.
  • Build LLM pipelines using OCR and models such as Gemini and GPT-4.
  • Develop UI components using React JS or Angular.
  • Conduct requirements analysis and estimation within a formal SDLC.
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