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Gen AI Engineer - Remote​/Telecommute

Remote / Online - Candidates ideally in
Dallas, Dallas County, Texas, 75215, USA
Listing for: Cynet systems Inc
Remote/Work from Home position
Listed on 2026-02-17
Job specializations:
  • Software Development
    AI Engineer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Position: Gen AI Engineer - Remote / Telecommute

Job Description Responsibilities

  • Develop AI solutions using frameworks such as Microsoft Agent Framework – Autogen, Semantic Kernel, Copilot Studio.
  • Implement data science / machine learning algorithms defined by Solution Architects.
  • Follow all SDLC phases: requirements, design, development, testing, deployment, and maintenance.
  • Collaborate with customers/stakeholders on project status and deliverables.
Required Skills And Qualifications
  • Core Technical Skills (All Levels).
  • Hands‑on working experience on Azure AI Foundry and Azure services/PAAS.
  • Python (scripting, data manipulation); familiarity with Num Py, Pandas, Matplotlib, Scikit Learn etc.
  • GenAI / Agent frameworks:
    Autogen, Semantic Kernel, Azure AI Foundry, Azure OpenAI.
  • Understanding of machine learning fundamentals: supervised vs. unsupervised learning, neural networks, NLP.
  • Familiarity with GenAI tools: MCP Server, Hugging Face Transformers, OpenAI APIs, and diffusion models (for image generation).
  • Ability to work across the SDLC with clean code, testing, and documentation.
Nice‑to‑Have
  • Experience with Auto Gen / Lang Graph multi-agent patterns and orchestration.
  • Knowledge of RAG pipelines, vector databases, prompt optimization, and safety/guardrails.
  • Exposure to MLOps (model versioning, deployment, monitoring).
  • Cloud certifications (Microsoft Azure) is a plus.
  • Production‑ready GenAI/Agentic applications.
  • Fine‑tuned models and reproducible experiments.
  • Clear documentation, test coverage, and deployment pipelines.
  • Regular updates on project status and deliverables to stakeholders.
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