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2 часа Π½Π°Π·Π°Π΄

Senior AI Engineer

179Β 000 - 241Β 000$
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 (Python/LangGraph/AWS Bedrock): Building multi-step agentic AI workflows, retrieval pipelines, and trustworthy action layers over proprietary commercial real estate data with an accent on orchestration, evaluation, and explainable outputs. Focus on designing tool-using agents, implementing guardrails and trace-level observability, and converting rapid prototypes into scalable production capabilities.

Location: United States; the stated salary range applies to the Playa Vista, California location, while hirify.global is a multi-state employer.

Salary: $179,000–$241,000 base annually for candidates working in Playa Vista, California.

Company

hirify.global operates an AI-powered commercial real estate platform covering market intelligence, property marketing, deal management, and auctions.

What you will do

  • Design and implement multi-step agentic workflows with routing, planning, tool use, memory, and state management using LangGraph or LangChain.
  • Build retrieval and context pipelines over proprietary commercial real estate data, including RAG, embeddings, and vector search.
  • Develop evaluation frameworks, offline evaluations, production monitoring, and human-in-the-loop annotation processes.
  • Work with Anthropic models on AWS Bedrock and Bedrock AgentCore, while evaluating open-weight alternatives for cost, latency, and capability.
  • Implement guardrails, structured outputs, ambiguity handling, explainability, source linking, and trace-level observability across LLM and tool calls.
  • Prototype with Product and Design based on user feedback and convert successful solutions into scalable, reusable production capabilities.

Requirements

  • 5+ years of professional software development experience in production environments, including 2+ years building LLM-powered applications in production.
  • Practical experience with agentic architectures, multi-step pipelines, tool or function calling, state machines, and memory.
  • Strong Python skills and experience building production backend services and APIs.
  • Experience designing retrieval systems with RAG, embeddings, and vector search.
  • Experience with cloud infrastructure, preferably AWS, plus GitHub or GitLab, code reviews, and CI/CD.
  • Bachelor’s degree in Computer Science or a related field, or equivalent practical experience.

Nice to have

  • Experience with LLM evaluation pipelines, production monitoring, and human-in-the-loop annotation.
  • Experience evaluating open-weight AI models and using agentic coding tools such as Claude Code or Codex.

Culture & Benefits

  • Fast-paced environment with rapid iteration and cross-functional collaboration.
  • Flexible team structure with opportunities for career progression.
  • Health, dental, and vision insurance.
  • Collaborative culture and regular team activities.

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†’