Member of Technical Staff (Backend)

ATGNew York City, NY
9d

About The Position

ATG (Autonomous Technologies Group) is an AI lab deploying frontier reasoning systems within financial markets. Founders: Early GPU cloud (9 figure exit). Investors: Garry Tan / YC + Founder of one of the most successful quant funds, BoxGroup (Plaid, Ramp, Stripe), top-tier angels. About the Role You’ll architect, build, and maintain the distributed systems, APIs, and backend infrastructure that power world-class AI research and deployment. Your work will enable rapid experimentation, robust data flows, and scalable compute. This is a hands-on role for someone who thrives in small, high-agency teams.

Requirements

  • 3+ years building distributed systems or high-availability backends (preferably in fast-moving or high-stakes environments)
  • Strong proficiency in Python and at least one systems language (e.g., Go, Rust, C++)
  • Experience with cloud platforms, containerization, and orchestration (AWS/GCP/Azure, Docker, Kubernetes)
  • Database setup, management, and optimization experience (SQL/NoSQL)
  • Relentless focus on code quality, correctness, and performance
  • Comfortable leveraging modern AI coding tools (Cursor, Claude Code, Codex, etc.) to increase productivity & code output while maintaining high code quality, maintainability, and structure

Nice To Haves

  • Agentic workflows / applied AI integration
  • Experience supporting or integrating agentic AI workflows into backend systems (e.g., LangChain, LangGraph, Semantic Kernel, Haystack, or custom frameworks)
  • Familiarity with persistence/checkpointing, streaming pipelines, and vector/knowledge store integrations

Responsibilities

  • Design and implement scalable backend services, data pipelines, and APIs
  • Build infrastructure for high-throughput, low-latency AI/ML workflows
  • Set up and manage databases (SQL/NoSQL), including schema design, replication, indexing, and performance optimization
  • Optimize for performance, reliability, and security at every layer
  • Implement observability best practices (logging, tracing, monitoring, performance tuning)
  • Work closely with research and infra teams to support experimental velocity
  • Contribute to core engineering culture, including code reviews and mentorship

Benefits

  • Work on AI with a massive market opportunity
  • Early team of repeat founders backed by top investors
  • High agency, talent dense, zero bureaucracy
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