AI Consultant

Compunnel

$125K — $150K *
Plano, TX 75025In-Person
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of experience with Generative AI or LLM applications.
  • Proven track record building and deploying AI Agents or Agentic AI workflows.
  • Extensive experience with LLM integration and APIs.
  • Familiarity with LLM Gateways for centralized model access and routing.
  • Practical experience with LLM SDKs and APIs.
  • Experience integrating multiple AI models from various providers.
  • Strong programming skills in Python; knowledge of Java, Node.js, or .NET is advantageous.

Responsibilities

  • Develop and implement Generative AI and LLM applications.
  • Design and deploy AI Agents and Agentic AI workflows.
  • Integrate various LLMs and their APIs for streamlined operations.
  • Manage LLM Gateways to facilitate model access and routing.
  • Utilize SDKs for LLMs to enhance application functionality.
  • Integrate AI models from multiple providers into existing platforms.
  • Ensure the security of AI applications and data against threats.

Benefits

  • Challenging and dynamic work environment.
  • Opportunities for professional growth and development.
  • Access to cutting-edge AI technologies and frameworks.
  • Collaborative team culture with cross-functional projects.
Full Job Description
Job Summary:
We are seeking an experienced AI Consultant with strong hands-on expertise in Generative AI, LLM applications, AI Agents, LLM integration, and AI security. The ideal candidate will have experience with LLM Gateways, AI model integration, SDKs, prompt engineering, data security, guardrails, and agentic AI workflows.

Required Qualifications:
• Strong hands-on experience developing Generative AI / LLM applications.
• Experience building and deploying AI Agents / Agentic AI workflows.
• Strong experience with LLM integration and model APIs.
• Experience with LLM Gateways and centralized model access and routing.
• Hands-on experience with LLM SDKs and APIs.
• Experience integrating multiple AI models and providers.
• Strong programming experience in Python; experience with Java, Node.js, or .NET is a plus.
• Experience with LangChain, LangGraph, Semantic Kernel, AutoGen, CrewAI, or similar agent frameworks.
• Experience with RAG, embeddings, vector databases, and knowledge retrieval.
• Strong understanding of prompt engineering, function calling, tool use, and structured outputs.
• Experience with REST APIs, microservices, authentication, and cloud platforms.
• Experience deploying AI solutions on AWS, Azure, or GCP.
• Knowledge of AI threat controls, data security, guardrails, and secure AI implementation practices.

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