Required Skills

AI Engineer

Work Authorization

  • US Citizen

  • Green Card

  • EAD (OPT/CPT/GC/H4)

  • H1B Work Permit

Preferred Employment

  • Corp-Corp

  • W2-Permanent

  • W2-Contract

  • Contract to Hire

Employment Type

  • Consulting/Contract

education qualification

  • UG :- - Not Required

  • PG :- - Not Required

Other Information

  • No of position :- ( 1 )

  • Post :- 3rd Oct 2025

JOB DETAIL

1.    Functional OpsGPT Chatbot Development:
1.    Design and develop a functional chatbot with foundational capabilities to handle telecom-related operational queries.
2.    Define and implement conversation flows, response templates, and basic troubleshooting actions.
3.    Collaborate with data teams to integrate relevant data sources and ensure contextually accurate responses.
2.    Prompt Engineering Optimization:
1.    Experiment with various prompt structures to improve response accuracy and task efficiency.
2.    Conduct A/B testing on prompt formats and optimize based on user feedback.
3.    Document and maintain prompt design guidelines for consistent optimization practices.
3.    Use Case Design for Avertack GPT:
1.    Identify and design specific use cases for Avertack GPT within telecom operations (e.g., predictive maintenance, network optimization).
2.    Work with stakeholders to translate business needs into actionable AI solutions and workflows.
3.    Prototype workflows for each use case, ensuring alignment with business objectives.
4.    Visualization and Dashboarding:
1.    Build visualizations using charts and Kibana dashboards to track key metrics such as chatbot interaction volume, response times, and success rates.
2.    Enable filtering, segmentation, and drill-down features to allow detailed analysis of system performance.
3.    Collaborate with cross-functional teams to make real-time metrics accessible and actionable.
5.    End-to-End Monitoring of Transactions:
1.    Implement comprehensive monitoring for all Avertack GPT transactions, capturing metadata at each stage (e.g., request received, response generated).
2.    Set up alerting for anomalies or threshold breaches, such as increased response time or error rates.
6.    Ontology Research and Graph DB Integration:
1.    Research ontology applications and define core entities and relationships relevant to telecom operations.
7.    Tuning and Auto-Integration of Large Language Models (LLM):
1.    Fine-tune the LLM on domain-specific telecom data to improve accuracy and relevance.
 

Company Information