AI Engineer — Build Production-Ready Agent Systems

raydar

New York (NY)

On-site

USD 210,000 - 250,000

Full time

4 days ago
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Benefits offered by this job

Health coverage
Dental coverage
Vision coverage

Job summary

raydar in New York, NY is seeking an experienced AI Engineer to design and deliver agent-based features from concept to production. You will own the supporting layer around agents, including evaluation, guardrails, tool integrations, monitoring, and audit trails, while building Python back-end services and APIs on AWS.

You will work with frontier language models, manage prompts and context, and lead AI projects from idea to rollout in a small, fast-moving team.

Qualifications

  • 4+ years of software engineering experience.
  • 1–3 years building autonomous AI tools in live environments.
  • Experience taking an AI agent/LLM feature from concept to production.
  • Strong backend experience with Python, Django or FastAPI on AWS.
  • Hands-on with frontier language models; prompting, tool use, and context management.
  • Comfortable owning ambiguous, high-stakes work in a small team.

Responsibilities

  • Design and deliver agent-based product features end to end, from concept to production release.
  • Own the supporting layer around each agent: evaluation, guardrails, tool integrations, monitoring, audits.
  • Build backend services and APIs in Python; shape user-facing interfaces.
  • Develop AI systems across multiple LLM providers, balancing performance and cost.
  • Lead AI projects from idea to production with independence; set patterns for future teams.
  • Track and adopt new models and tools to accelerate development.

Skills

Python
LLM prompts
Tool use
Context management
AI tooling
Django
FastAPI
AWS

Tools

Django
FastAPI
AWS

Job description

raydar in New York, NY is seeking an experienced AI Engineer to design and deliver agent-based features from concept to production. You will own the supporting layer around agents, including evaluation, guardrails, tool integrations, monitoring, and audit trails, while building Python back-end services and APIs on AWS.

You will work with frontier language models, manage prompts and context, and lead AI projects from idea to rollout in a small, fast-moving team.

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