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Gen AI 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

    Benefits:
    • Bonus based on performance
    • Competitive salary
    • Dental insurance
    • Health insurance
    • Paid time off
    • Vision insurance
    Qualifications:
    • 10+ years of software engineering and development experience
    • Strong experience in building and deploying GenAI applications in production.
    • Strong programming with Python and familiar with GenAI libraries (Transformers, LangChain, Hugging Face, etc.).
    • Deep understanding of LLMs, embeddings, vector databases (e.g., FAISS, Pinecone, Weaviate).
    • Experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
    • Familiarity with CI/CD for ML workflows and versioning tools like MLflow or DVC.
    • Hands-on experience designing and building cloud-native solutions (preferably on AWS)
    • GenAI tools and frameworks (e.g., LLMs, vector databases, prompt orchestration, LangChain, Bedrock) will be a PLUS
    • Familiar  with AWS AI/ML services (e.g., SageMaker, Bedrock, Comprehend, Lex) is a PLUS
    • AWS AI certification
    • Financial Services experience
    Responsibilities:
    • Design scalable and robust GenAI architectures using LLMs, multimodal models, and retrieval-augmented generation (RAG).
    • Fine-tune foundation models using domain-specific data.
    • Implement prompt engineering, instruction tuning, and reinforcement learning from human feedback (RLHF).
    • Integrate GenAI capabilities into enterprise platforms using APIs, SDKs, and orchestration tools.
    • Implement responsible AI practices including bias detection, hallucination mitigation, and explainability.
    • Drive experimentation with new models, agents, and frameworks (e.g., LangChain, LlamaIndex, OpenAI, Anthropic, etc.).
    Compensation: $40.00 - $50.00 per hour




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