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AI/ML Engineer

Ccs

  • Plano, Texas
  • 30+ days ago

    Highlights

    Our longstanding history and industry-leading position speak to our success in providing CX solutions centered around the leaders in contact center solutions and strategic technology partners that empower organizations to actualize ROI and sustain a truly competitive advantage in a fast-changing CX environment. The collective experiences in leadership roles across firms enable CCS to bring passion, perspective, data-driven decision making to guide, advise, and support organizations throughout their CX journey.

    Numbers & Facts

    LocationPlano, Texas
    Websitewww.ngenccs.com

    Description

    Replies within 24 hours
    Benefits:
    • Bonus based on performance
    • Dental insurance
    • Health insurance
    • Vision insurance
    Qualifications
    • Bachelor’s Degree 
    • 6+ years cloud architecture experience
    • 3+ years building production GenAI/LLM systems on AWS.  
    • Strong Python and AWS expertise, including Lambda, ECS/EKS, S3, SageMaker, Docker and Kubernetes.  
    • Production experience with vector databases and designing ingestion + embedding pipelines for both batch and streaming workloads.  
    • Hands-on with prompt design, evaluation, LLM orchestration, and RAG implementation patterns.  
    • Experience deploying and operating model- serving or MCP – like server infrastructure (selfhosted or managed).  
    • Proficient with IaC and delivery tooling, including Terraform/CloudFormation, GitOps, and CI pipelines.  
    • Experience with model-serving infrastructure, such as Amazon SageMaker, NVIDIA Triton, Ray Serve, or similar platforms.  
    • Hands-on experience with GenAI libraries and frameworks, including LangChain, LlamaIndex, Hugging Face, and OpenAI APIs.  
    • Deep operational expertise with vector databases, such as Pinecone, Milvus, Weaviate, or Qdrant.  
    • AWS Solutions Architect, AWS DevOps Engineer, or equivalent industry certifications. 
     
    Responsibilities
    • Cloud Architecture & Infrastructure, Design scalable, secure AWS architectures
    • LLM & GenAI Platforms, Lead integration of API-based and self-hosted LLMs, implement RAG solutions
    • Prompting & Evaluation, Develop prompt engineering strategies, reusable templates, and evaluation frameworks 
    • Vector Databases & Retrieval Pipelines, Implement and maintain vector stores (OpenSearch, Pinecone, Milvus, Qdrant) 
    • Data Ingestion & Processing Pipelines 
    • Microservices & Serverless Systems 
    • Python Development & AI Tooling 
    • Security, Governance & Cross-Functional Leadership 
    Compensation: $65.00 - $75.00 per hour




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