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Member of Technical Staff (Backend)

A T G Careers
⌖ New York City, New York, United States ▣ Full Time Remote Posted 1 year ago
CountryUnited States
Job typeFull Time
Published payUSD 180,000 – 260,000
DeadlineNot specified

About this job

About us ATG (Autonomous Technologies Group) is an AI lab deploying frontier reasoning systems within financial markets. Autonomous is an agentic wealth manager built on this foundation. Founders: Early GPU cloud (9 figure exit). Investors: Led by Garry Tan / YC with participation from one of the most successful quant funds, BoxGroup (Plaid, Ramp, Stripe), and other 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. 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 (

Department: Engineering

Responsibilities & complete job details

Full Job Description

About us

ATG (Autonomous Technologies Group) is an AI lab deploying frontier reasoning systems within financial markets. Autonomous is an agentic wealth manager built on this foundation.

Founders: Early GPU cloud (9 figure exit).

Investors: Led by Garry Tan / YC with participation from one of the most successful quant funds, BoxGroup (Plaid, Ramp, Stripe), and other 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.

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

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

Bonus – 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

Why Join ATG

We're building a small, elite team. If you're excited by AI, markets, and building from first principles, we’d love to meet you.

  • Work on AI with a massive market opportunity

  • Early team of repeat founders backed by top investors

  • High agency, talent dense, zero bureaucracy

About A T G Careers

A T G Careers is the organization associated with this verified listing. JobOpportunity keeps the original authoritative source attached to every record so applicants can verify final requirements directly.

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