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AI Lead

iLink Digital

Salary not specified
Sep 12, 2025
Dothan, AL, US
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iLink is looking to solve complex business challenges for clients by delivering next-generation technology solutions, specifically focusing on AI and Gen AI implementations to improve organizational effectiveness, increase business productivity, and realize sustainable enterprise value.

Requirements

  • Good hands-on -Design & Development - Full SDLC in Python, .Net and Strong in Gen AI area.
  • Proficiency in AI platforms and tools such as Azure OpenAI, Hugging Face, and LangChain ecosystem (LangGraph, LangSmith, LangFuse).
  • Strong programming skills in Python, C-Sharp, and Node.js, with experience in API development and system integration.
  • Expertise in NLP, machine learning, deep learning, or computer vision.
  • Experience with Azure and AWS cloud platforms and their AI/ML services.
  • Familiarity with enterprise application development and full-stack technologies.
  • Hands-on experience with chatbot development, automation frameworks, and AI-based decision systems.

Responsibilities

  • Lead the day-to-day development of AI solutions, including writing production-grade code and building scalable systems.
  • Design and implement AI-driven features such as chatbots, recommendation engines, Agentic AI, and automation tools.
  • Build secure and scalable AI pipelines that integrate with enterprise systems and cloud platforms.
  • Evaluate and apply AI frameworks, libraries, and platforms aligned with business and technical needs.
  • Select and implement machine learning algorithms, NLP models, and other Gen AI technologies.
  • Ensure compliance with data privacy, security, and ethical standards in all AI/ML implementations.
  • Stay current with advancements in Gen AI tools and recommend their adoption within engineering teams.

Other

  • Interact directly with customers to understand requirements, propose solutions, and ensure successful delivery.
  • Provide technical mentorship to developers and engineers working on AI initiatives.
  • Maintain clear documentation and architecture diagrams for deployed AI solutions.
  • Excellent problem-solving and communication skills.
  • Knowledge of AI ethics, data governance, and security best practices.