LLM Implementation Engineer

2 weeks ago

Dallas, United States InfoVision, Inc. Full time

Key Responsibilities:

  • Advanced LLM Integration: Implement and refine large language models to develop cutting-edge systems for personalized customer interactions and automation, ensuring scalability and efficiency.
  • Prompt Engineering Excellence: Employ advanced prompt engineering techniques to fine-tune LLM interactions, achieving tailored and contextually appropriate responses that elevate the consumer experience in the telecom retail sector.
  • Open-source Optimization: Adapt and optimize open-source LLMs from platforms like Hugging Face, aligning them with specific consumer needs and seamlessly integrating them into our existing infrastructure.
  • Collaborative Innovation: Work closely with the digital marketing and customer experience teams to leverage LLMs in enhancing digital engagement, customer satisfaction, and e-commerce initiatives.
  • Robust LLM Management: Oversee the deployment, maintenance, and scaling of LLM solutions, prioritizing reliability, performance, and security across all digital platforms.

Required Skills and Experience:

  • Proven LLM Expertise: Strong proficiency in the implementation, integration, and management of large language models, with a deep understanding of their capabilities and potential applications.
  • Technical Proficiency: Advanced skills in programming and scripting, particularly in Python, essential for LLM development and customization.
  • Cloud Architecture Acumen: Familiarity with cloud computing services and architectures, crucial for deploying and managing scalable LLM applications.
  • Strategic Communication: Ability to articulate complex technical details and LLM strategies effectively to both technical and non-technical stakeholders.

Preferred Qualifications:

  • Digital and E-commerce Experience: Background in the retail telecom sector, with insights into digital marketing, e-commerce challenges, and customer engagement strategies.
  • Ecosystem Expertise: Experience with Google s and OpenAI s LLM ecosystems, applying these technologies to drive tangible improvements in customer experience and business operations.
  • Project Leadership: Demonstrated success in leading cross-functional projects that integrate LLM technology to boost customer service and enhance operational efficiency.
  • Impactful Portfolio: A robust portfolio of projects where LLM implementations have significantly improved customer engagement or streamlined operational processes.
LLM Implementation Engineer (Prompt Engineering)

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