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13 часов Π½Π°Π·Π°Π΄

Senior AI Engineer (SaaS)

Π€ΠΎΡ€ΠΌΠ°Ρ‚ Ρ€Π°Π±ΠΎΡ‚Ρ‹
remote (Ρ‚ΠΎΠ»ΡŒΠΊΠΎ USA)
Π’ΠΈΠΏ Ρ€Π°Π±ΠΎΡ‚Ρ‹
fulltime
Π“Ρ€Π΅ΠΉΠ΄
senior
Английский
b2
Π‘Ρ‚Ρ€Π°Π½Π°
US
Вакансия ΠΈΠ· списка Hirify.GlobalВакансия ΠΈΠ· Hirify Global, списка ΠΌΠ΅ΠΆΠ΄ΡƒΠ½Π°Ρ€ΠΎΠ΄Π½Ρ‹Ρ… tech-ΠΊΠΎΠΌΠΏΠ°Π½ΠΈΠΉ
Для мэтча ΠΈ ΠΎΡ‚ΠΊΠ»ΠΈΠΊΠ° Π½ΡƒΠΆΠ΅Π½ Plus

ΠœΡΡ‚Ρ‡ & Π‘ΠΎΠΏΡ€ΠΎΠ²ΠΎΠ΄

Для мэтча с этой вакансиСй Π½ΡƒΠΆΠ΅Π½ Plus

ОписаниС вакансии

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TL;DR

Senior AI Engineer (SaaS): Building and maintaining production-grade agentic systems and RAG pipelines for an embedded refund protection platform with an accent on multi-agent orchestration, tool-calling, and compliance-sensitive AI output. Focus on architecting scalable AI infrastructure on AWS, ensuring system reliability, and integrating LLMs into existing platform APIs.

Location: Fully remote (US-based)

Company

hirify.global is a SaaS platform providing embedded refund protection for insurance carriers, booking platforms, and ticketing systems.

What you will do

  • Design and maintain production-grade agentic systems, including multi-agent orchestration and Human-in-the-Loop workflows.
  • Develop MCP servers and tool integrations connecting AI agents to platform APIs.
  • Orchestrate LLMs and manage prompt strategies to ensure compliant, pre-approved refund solutions.
  • Build and maintain RAG pipelines grounded in product data to prevent hallucinations.
  • Implement guardrails to enforce compliance and safety across all AI-generated offers.
  • Build evaluation frameworks to monitor and improve agent performance and reliability.

Requirements

  • Must be based in the US
  • 5+ years of professional software engineering experience, with 2+ years in production AI/LLM development.
  • Strong Python proficiency and deep backend engineering experience (e.g., Django).
  • Hands-on experience with agentic frameworks like LangGraph, LangChain, or AWS Bedrock Agents.
  • Experience integrating LLM APIs into production applications and building RAG pipelines.
  • Strong communication skills for explaining complex AI system designs to stakeholders.

Nice to have

  • Background in compliance-sensitive industries like insurance, fintech, or legal.
  • Experience operating high-volume LLM systems with attention to latency and cost.
  • Familiarity with AWS Bedrock or similar managed AI platforms.
  • Experience with model fine-tuning or customization.

Culture & Benefits

  • Fully remote working environment.
  • Competitive salary and equity opportunities.
  • Unlimited paid time-off.
  • Comprehensive medical, dental, and vision benefits.
  • 401k matching program.
  • Annual bonus program and event ticket allowance.

Π‘ΡƒΠ΄ΡŒΡ‚Π΅ остороТны: Ссли Ρ€Π°Π±ΠΎΡ‚ΠΎΠ΄Π°Ρ‚Π΅Π»ΡŒ просит Π²ΠΎΠΉΡ‚ΠΈ Π² ΠΈΡ… систСму, ΠΈΡΠΏΠΎΠ»ΡŒΠ·ΡƒΡ iCloud/Google, ΠΏΡ€ΠΈΡΠ»Π°Ρ‚ΡŒ ΠΊΠΎΠ΄/ΠΏΠ°Ρ€ΠΎΠ»ΡŒ, Π·Π°ΠΏΡƒΡΡ‚ΠΈΡ‚ΡŒ ΠΊΠΎΠ΄/ПО, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡ‚Π΅ этого - это мошСнники. ΠžΠ±ΡΠ·Π°Ρ‚Π΅Π»ΡŒΠ½ΠΎ ΠΆΠΌΠΈΡ‚Π΅ "ΠŸΠΎΠΆΠ°Π»ΠΎΠ²Π°Ρ‚ΡŒΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡˆΠΈΡ‚Π΅ Π² ΠΏΠΎΠ΄Π΄Π΅Ρ€ΠΆΠΊΡƒ. ΠŸΠΎΠ΄Ρ€ΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β†’