Senior AI Systems Engineer

Adonis

New York (NY)

Hybrid

USD 190,000 - 210,000

Full time

16 hours ago
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Benefits offered by this job

Competitive equity packages
Employer-paid medical insurance
Employer-paid dental insurance
Employer-paid vision insurance
Employer-funded HSA
Parental leave
Commuter benefits
Office lunches every day
Office snacks
Generous PTO

Job summary

Adonis is seeking a Senior Software Engineer to serve as the technical anchor of a growing backend AI team. You will design and ship agentic AI systems that scale, set engineering standards, and stay close to research to bring ideas into production.

This is a high-ownership role shaping how the team builds. This role requires 5+ years of backend experience, deep Python expertise (FastAPI/Flask), and familiarity with LangGraph or LlamaIndex.

Qualifications

  • 5+ years of backend engineering experience.
  • Strong Python experience (FastAPI, Flask, or similar).
  • Experience with agent orchestration frameworks (LangGraph, LlamaIndex, or similar).

Responsibilities

  • Build robust AI systems at enterprise scale with production-grade reliability.
  • Lead as the technical standard-bearer for the backend AI team through code reviews and mentorship.
  • Push the state of the art by researching and translating new techniques into practical engineering practices.
  • Design lean services that reduce complexity while maintaining a maintainable codebase.

Skills

Backend engineering
Python
System design
Communication
Ambiguity navigation

Education

MS in CS or related field
Bachelor's degree in CS

Tools

AWS
LangGraph
LlamaIndex
FastAPI/Flask

Job description

Adonis is seeking a Senior Software Engineer to serve as the technical anchor of a growing backend AI team. You will design and ship agentic AI systems that scale, set engineering standards, and stay close to research to bring ideas into production.

This is a high-ownership role shaping how the team builds. This role requires 5+ years of backend experience, deep Python expertise (FastAPI/Flask), and familiarity with LangGraph or LlamaIndex.

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