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Senior Backend Engineer

San Francisco, California, United StatesOnsiteFull TimeSenior$150,000–$250,000 /yrPosted 26 days agoVisa sponsorship available

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Dice is the leading career destination for tech experts at every stage of their careers. Our client, Finoit Inc., is seeking the following. Apply via Dice today!
Senior Software Engineer, Backend (Founding Team)
Onsite (5 days/week)
Salary: $150K – $250K + Equity
Role Overview
We are hiring a
Senior Backend Engineer
to join an early-stage, high-growth startup building
AI-powered products
for a large and complex industry.
In this role, you will design and build
core backend systems, data infrastructure, and AI pipelines
that power next-generation applications. This is not a typical backend role—you’ll work on
large-scale data systems, distributed architecture, and AI-driven workflows
.
What You’ll Work On

  • Retrieval systems for large, unstructured datasets
  • AI pipelines for processing documents, data, and workflows
  • Distributed systems handling compute-intensive workloads
  • Backend infrastructure supporting AI/LLM-based applications
  • Real-time systems enabling collaboration between users and AI

Responsibilities

  • Build and scale backend systems for AI-driven applications
  • Design and develop APIs for complex workflows
  • Develop data pipelines for large-scale processing
  • Architect distributed, scalable systems
  • Optimize performance, latency, and system reliability
  • Deploy and maintain production-grade AI/LLM systems
  • Contribute to system architecture and engineering best practices

Required Qualifications

  • 5+ years of backend engineering experience
  • Strong programming skills in Python, Go, or TypeScript
  • Experience with distributed systems and scalable APIs
  • Solid understanding of data structures, systems design, and concurrency

Preferred Qualifications

  • Experience with AI/LLMs, RAG, or vector databases
  • Experience with large-scale data pipelines
  • Cloud experience (AWS or Google Cloud Platform)
  • Experience with high-performance or GPU-based workloads
  • Startup environment experience
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