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5 дней назад

Senior AI Application Engineer

178 000 - 215 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
middle/senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Senior AI Application Engineer (AI/multi-agent systems): Building scalable multi-agent systems, agent tools, and context-feeding data pipelines for complex business process automation with an accent on agent orchestration, secure tool calling, and LLMOps. Focus on mitigating prompt injection and unauthorized tool execution, integrating LLM APIs and retrieval architectures, and deploying cloud-based systems with containers.

Location: New York, NY, USA; eligible for hire in select U.S. locations only

Salary: $178,000–$215,000 yearly

Company

hirify.global delivers commercialization services, products, and solutions for the life sciences industry, supporting biotech and pharmaceutical clients and the patients they serve.

What you will do

  • Architect, design, and implement scalable multi-agent systems that automate complex, multi-step business processes.
  • Translate existing processes into agentic solutions and develop new multi-agent architectures.
  • Build solutions with agent orchestration frameworks such as Google ADK, LangGraph, and CrewAI.
  • Design secure tool-calling architectures that connect LLMs with internal databases, CRMs, and APIs.
  • Implement LLMOps and AgentOps practices while mitigating prompt injection, hallucination loops, and unauthorized tool execution.
  • Collaborate with clients, stakeholders, and off-site personnel; some travel may be required.

Requirements

  • Ph.D. in computer science, engineering, mathematics, physics, artificial intelligence, software engineering, or a closely related field.
  • 1–7+ years of software engineering experience.
  • Expert-level Python and/or TypeScript proficiency, plus Rust proficiency.
  • Experience with MCP architectures, agentic design patterns, LLM APIs, and open-weight models.
  • Experience with vector and graph databases, RAG architectures, GraphRAG, and hybrid search.
  • Strong cloud architecture and containerization skills with AWS, GCP, or Azure and Docker/Kubernetes.

Nice to have

  • Enterprise-scale deployment experience with multi-agent architectures.
  • Three or more years of experience in generative AI, LLMs, or cognitive architectures.
  • Expert-level Rust proficiency and extensive RAG experience.

Culture & Benefits

  • Full-time schedule of 40 hours per week, Monday through Friday.
  • Commitment to patient-centered work, client impact, innovation, inclusion, and professional development.
  • Competitive salary and employee benefits.
  • Equal opportunity employer with reasonable accommodation available during the hiring process.

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