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2 дня назад

GenAI / Agentic AI Developer

100 000 - 150 000$
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
GenAI / Agentic AI Developer (Python/LLMs/RAG): Designing, building, and deploying enterprise-grade GenAI applications with an accent on multi-agent orchestration, retrieval pipelines, and cloud-native AI services. Focus on moving AI solutions from proof of concept to production, implementing LLMOps, and ensuring scalability, security, reliability, and measurable business outcomes.

Location: New York, United States

Salary: $100,000–$150,000 gross annual base salary for full-time employment

Company

hirify.global delivers enterprise technology and consulting solutions, including cloud-native artificial intelligence applications.

What you will do

  • Design, develop, and deploy GenAI solutions using LLMs, RAG, tool calling, and agent-based architectures.
  • Build and orchestrate multi-agent workflows with planning, retrieval, execution, validation, and human-in-the-loop patterns.
  • Develop Python backend services and REST APIs with FastAPI, Flask, and microservices.
  • Implement document ingestion, embedding generation, vector indexing, reranking, and retrieval pipelines.
  • Integrate AI applications with enterprise systems, databases, document repositories, APIs, and cloud services.
  • Deploy, monitor, and optimize production AI applications using Docker, Kubernetes, CI/CD, and LLMOps practices.

Requirements

  • Must be authorized to work in the United States without current or future employer sponsorship.
  • Visa sponsorship is not available; candidates requiring H-1B, OPT, CPT, F-1, TN, E-3, L-1, or similar sponsorship are not eligible.
  • Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field, or equivalent professional experience.
  • 5+ years of hands-on Python development experience and experience building enterprise GenAI or Agentic AI applications.
  • Practical experience with an agent orchestration framework such as LangGraph, LangChain, AutoGen, CrewAI, Semantic Kernel, or LlamaIndex.
  • Strong knowledge of RAG, embeddings, prompt engineering, semantic search, vector databases, REST APIs, Docker, Kubernetes, and CI/CD.

Nice to have

  • Experience designing multi-agent systems with tool calling, memory management, autonomous planning, reflection, and evaluation.
  • Exposure to MCP, GraphRAG, Neo4j, knowledge graphs, entity extraction, and LLMOps tools.
  • Experience with Azure AI Foundry, Azure OpenAI, AWS Bedrock, AWS SageMaker, or GCP Vertex AI.
  • Knowledge of AI governance, responsible AI, guardrails, prompt injection prevention, PII masking, and access controls.

Culture & Benefits

  • Full-time employment with gross annual base pay of $100,000–$150,000.
  • Bonuses, incentives, and benefits are discussed during the recruitment process.
  • Additional experience or qualifications may result in a higher offer based on objective, gender-neutral criteria.
  • Salary history is not requested during the hiring process.

Hiring process

  • Candidates must explain at least one end-to-end GenAI or Agentic AI implementation.
  • The discussion should cover the business problem, architecture, models, frameworks, orchestration, RAG and vector search, deployment, evaluation, monitoring, and measurable outcomes.

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