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10 часов назад

Senior Software Engineer (Conversational AI)

73 150 - 174 000$
Формат работы
hybrid
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 Software Engineer (Conversational AI): Building and deploying conversational AI applications with an accent on LLMs, RAG pipelines, NLP, and cloud-native infrastructure. Focus on designing retrieval systems, evaluating and optimizing AI outputs, deploying workloads with AWS, Docker, and Kubernetes, and operating reliable production systems.

Location: Hybrid opportunity based in New Jersey, Atlanta, Chicago, or Dallas

Salary: $73,150–$174,000 base compensation per year

Company

hirify.global is a global business and technology transformation partner delivering strategy, design, engineering, AI, cloud, data, and other technology services to organizations worldwide.

What you will do

  • Design, develop, and deploy conversational AI applications using LLMs from OpenAI, Anthropic, Azure OpenAI, and Hugging Face.
  • Build, optimize, and maintain RAG pipelines, vector-based retrieval systems, embeddings, and semantic search.
  • Develop NLP applications for text parsing, classification, sentiment analysis, summarization, and text generation.
  • Evaluate models, engineer prompts, conduct performance testing, and optimize AI outputs.
  • Deploy and manage AI workloads on AWS using Docker, Kubernetes, and cloud-native architectures.
  • Monitor, troubleshoot, govern, and improve AI systems in production while collaborating with stakeholders and technical teams.

Requirements

  • 2–4 years of experience in software engineering, backend development, machine learning, NLP, or a related field.
  • 1–2+ years of hands-on experience with LLM APIs and proven experience building and deploying RAG applications.
  • Proficiency in Python and relevant AI/ML libraries and frameworks.
  • Strong understanding of NLP, transformer architectures, prompt engineering, model evaluation, and AI application lifecycle management.
  • Experience with vector databases, embeddings, semantic search, data preprocessing, augmentation, and synthetic data generation.
  • Experience with AWS, Docker, Kubernetes, and collaboration with business stakeholders to define technical requirements.

Nice to have

  • Experience with LangChain, LangGraph, LlamaIndex, Semantic Kernel, or similar AI orchestration frameworks.
  • Experience deploying applications with MCP (Model Context Protocol).
  • Familiarity with MLOps, CI/CD, model monitoring, observability, security, and AI governance.
  • Experience with Pinecone, Weaviate, Chroma, Qdrant, or Azure AI Search.

Culture & Benefits

  • Regular full-time employment with a comprehensive benefits package.
  • Paid vacation, company holidays, personal days, and sick leave.
  • Medical, dental, and vision coverage.
  • Retirement savings plans, including 401(k) in the United States.
  • Life and disability insurance and employee assistance programs.
  • Additional variable compensation may be available depending on the position and applicable laws.

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