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4 дня назад

Senior AI Engineer (Agentic Systems)

160 000 - 174 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Senior AI Engineer (Agentic Systems): Building and operating production multi-agent AI systems for research assistants delivering grounded answers via APIs and conversations with an accent on runtime architecture, orchestration, retrieval strategies, and AgentOps. Focus on architecting multi-agent workflows, advanced retrieval with reranking, evaluation gates, agentic security controls, and end-to-end observability.

Location: New York, NY (onsite)

Salary: $160,000-$174,000

Company

Financial services company committed to financial opportunities for individuals and communities through bold actions and inclusive culture.

What you will do

  • Collaborate with stakeholders to build measurable, reliable AI solutions for research and workflows.
  • Architect multi-agent workflows with planner/supervisor orchestration, state management, routing, and agent protocols.
  • Design retrieval architectures including hybrid retrieval, reranking, and contextual embeddings.
  • Operationalize AgentOps evaluation gates with statistical suites and staged rollouts.
  • Implement agentic security against prompt injection and unsafe tool execution.
  • Build observability for multi-step executions, define SLIs/SLOs, and own reliability outcomes.

Requirements

  • Must be eligible to work in the US (implied by location and benefits)
  • Proven experience with LLM-powered applications in production, including prompt/tool orchestration.
  • Hands-on multi-agent orchestration, state management, and conditional routing.
  • Strong RAG retrieval: hybrid, rank fusion, reranking, contextual embeddings.
  • Evaluation systems for AI/agent behavior with rubrics and release gates.
  • AgentOps/LLMOps practices, security mindset for LLMs (prompt injection defenses).
  • Proficiency in Python and AI frameworks for agentic systems.

Nice to have

  • Experience with Databricks, Azure Foundry, cloud AI platforms.
  • Work in regulated environments with governance and resilience.
  • Agent memory systems and scalable prompt architectures.
  • Production telemetry with OpenTelemetry.

Culture & Benefits

  • Health, dental, vision, life insurance.
  • 401(k) with up to 6% matching; employer-paid retirement plan (4%).
  • Tuition reimbursement up to $5,250/year.
  • 20 days PTO, 9 holidays, flexible Diversity Day, 40 hours paid volunteer time.
  • Focus on customer focus, critical thinking, team mentality, business acumen, learning agility.

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