8 days ago
Responsibilities
- Architect and maintain conversational flows using generative AI and multi-agent orchestration.
- Design intent taxonomies, perform collision analysis, and improve intent precision, recall, and false-positive rates.
- Lead LLM fine-tuning, prompt engineering, model distillation, model evaluation, and security against prompt manipulation and data vulnerabilities.
- Tune speech-to-text and speech-to-speech experiences and create custom entities for extracting information from speech and generative interactions.
- Build webhooks and serverless backend services with Node.js or Python to integrate virtual agents with APIs, CRMs, and databases.
- Implement model-serving infrastructure and scalable cross-platform AI solutions.
- Build Golden Sets and automated regression testing, analyze BigQuery logs and telemetry, and conduct ROI analysis for AI solutions.
- Consult with customers to deliver multi-turn conversational experiences and agentic interactions.
Requirements
- Bachelor’s degree or four or more years of work experience.
- Six or more years of relevant work, military, or specialized training experience.
- Proficiency with Python, JavaScript, Java, Next.js, Node.js, and React.js, along with experience creating AI agents.
- Experience with GenAI, LLM models, MCP, vector databases, RAG, Vertex AI, and agentic AI frameworks such as NGA, ADK, LangChain, or LangGraph.
- Experience with GCP, Azure, or AWS and cloud technologies including OpenStack, Terraform, Ansible, or Chef.
- Experience with LLM observability, analytics, evaluations, testing, and annotation using tools such as LangSmith, LangFuse, Streamlit, or Arize.
- Experience with AI/ML development.
- Willingness to travel 25%.
- Preferred qualifications include computational linguistics or data science experience, relevant cloud or machine learning certifications, generative and NLU design experience, and Pandas/NumPy experience for large-scale utterance-data optimization.
- Familiarity with CI/CD pipelines and product-led operating models is preferred.
Benefits
- Remote work from home with occasional in-person training and meetings.
- Medical, dental, vision, disability, life insurance, identity theft protection, pet insurance, and group home and auto insurance options.
- Matched 401(k), up to eight company-paid holidays, up to six personal days, paid parental leave, adoption assistance, and tuition assistance.
- Up to 15 vacation days per year for newly hired employees, increasing with service.
- Scheduled workweek of 40 hours and potential incentive-based compensation; salary varies by location, skills, and experience.
Tech Stack
AnsibleAWSAzureChefGoogle BigQueryGoogle Cloud PlatformJavaJavaScriptNext.jsNode.jsNumPyOpenStackPandasPythonReactTerraform
Categories
AI ApplicationsSolutions Engineering
About Verizon
Verizon builds and operates wireless networks, broadband (Fios), and enterprise connectivity, security, and IoT solutions for consumers, businesses, and public-sector customers. Its revenue comes from subscription mobile services, internet and TV access, and managed network and cloud security offerings. Founded in 2000 via the Bell Atlantic–GTE merger, the public company (NYSE: VZ) is headquartered in Basking Ridge, New Jersey, and is one of the largest mobile carriers in the United States.