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Generative AI Engineer

Artech · Sunrise, FL · Onsite

100100

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Actively hiring

Posted today · still listed on the employer's own board · How we score

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Generative AI Engineer at Artech. We’ll keep it in your applied jobs, so you can see it later and be warned before applying to the same employer twice.

Title

Generative AI Engineer

Location

ONSITE- Sunrise, FL

Duration

6 Months

Salary Range

$40.00 - $42.00/Hour on W2 (Without Benefits).

Applicants must be willing to work on W2.

Job Description

Experience Required

5–8 Years

Role Description

We are looking for a Generative AI Engineer with 3–4 years of software/ML engineering experience and strong hands-on exposure to LLMs, RAG, AI agents, embeddings, and production-grade GenAI applications.

The ideal candidate should be able to take a GenAI use case from prototype to production, including data preparation, prompt design, retrieval, model integration, evaluation, deployment, monitoring, and optimization.

Key Responsibilities

  • Design and develop enterprise-grade Generative AI and LLM applications.
  • Build Retrieval-Augmented Generation (RAG) solutions using enterprise documents and structured/unstructured data.
  • Develop AI agents and multi-step agentic workflows, including tool/function calling.
  • Integrate LLMs through platforms/APIs such as Azure OpenAI, OpenAI, or Hugging Face.
  • Implement document ingestion, chunking, embedding generation, metadata filtering, semantic/hybrid search, and reranking.
  • Develop backend services and REST APIs using Python and FastAPI.
  • Apply prompt engineering techniques including structured output, few-shot prompting, context management, and guardrails.
  • Evaluate LLM applications for accuracy, groundedness, relevance, latency, and cost.
  • Implement observability and monitoring for production GenAI applications.
  • Work with engineering, data, product, security, and business teams to translate business requirements into GenAI solutions.
  • Follow responsible AI, security, privacy, and data-governance practices.

Essential Skills

  • Generative AI
  • Large Language Models (LLMs)
  • Retrieval-Augmented Generation (RAG)
  • AI Agents and Agentic Workflows
  • Embeddings
  • Python
  • FastAPI
  • Azure OpenAI / OpenAI / Hugging Face
  • Prompt Engineering
  • Semantic Search / Hybrid Search
  • Production-grade GenAI Applications

Desirable Skills

  • 7+ years in Generative AI

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