Senior GenAI Engineer - Enterprise AI Platform in Bengaluru at honor foundations

Date Posted: 3/12/2025

Job Snapshot

  • Employee Type:
    Full-Time
  • Location:
    Bengaluru
  • Job Type:
  • Experience:
    Not Specified
  • Date Posted:
    3/12/2025

Job Description



When you join Verizon

You want more out of a career. A place to share your ideas freely — even if they’re daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love — driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together — lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the V Team Life. What you will be doing...
We're seeking an experienced Senior GenAI Engineer to lead the development and enhancement of our advanced GenAI platform. This role is crucial in advancing our AI capabilities and enabling innovative enterprise-grade conversational AI solutions.

  • Lead development of our GenAI platform, focusing on conversational AI, bot personalization, and admin features.
  • Integrate and fine-tune advanced language models via Amazon Bedrock.
  • Implement RAG capabilities and enhance multi-language support.
  • Design scalable backend services using AWS serverless technologies.
  • Improve frontend applications for bot management and analytics.
  • Implement robust security features and CI/CD pipelines.
  • Collaborate with cross-functional teams to integrate AI solutions across business units.

What we are looking for…

This role offers an exciting opportunity to lead cutting-edge GenAI platform development, driving innovation in scalable, reliable, and secure enterprise AI solutions.

You will need to have:

  • Bachelor’s degree or four or more years of work experience.
  • Software development experience, focusing on AI and cloud technologies.
  • Extensive experience with AWS services (Bedrock, Lambda, API Gateway, DynamoDB, CloudFront).
  • Proven track record in developing large-scale, production-ready AI applications.
  • Expert understanding of NLP concepts and experience with large language models.
  • Strong background in serverless architectures and microservices design.
  • Full-stack development experience, with proficiency in React and modern frontend practices.
  • Experience with vector databases and embedding techniques.
  • Proficiency in Python, TypeScript, and Go.

Even better if you have one or more of the following:

  • Experience in evaluation and benchmarking of language models.
  • Skills in performance monitoring and analytics for AI systems.
  • Expertise in testing and validation of AI models for safety and reliability.
  • Proficiency in prompt engineering and optimization.
  • Experience with continuous evaluation and testing of AI models in production.
  • Knowledge of security testing and vulnerability assessment for AI systems.
  • Understanding of quality assurance processes for AI-generated content.
  • Familiarity with bias detection and fairness assessment in AI models.
  • Experience with explainability and interpretability tools for AI decisions.
  • Skills in integration testing for AI systems within larger applications.
  • Knowledge of automated testing frameworks for AI models.
  • Understanding of compliance checking for AI systems against regulatory standards.
  • Experience in performance comparison across different AI models and versions.
  • Familiarity with data quality assessment for AI training and testing.
  • Proficiency in error analysis and debugging tools for AI models.
  • Experience in scalability testing for AI systems under various loads.
  • Skills in developing customizable evaluation metrics for specific use cases.
  • Knowledge of visualization tools for AI model performance and behavior.
  • Experience with collaborative platforms for AI testing and evaluation.
  • Proficiency in version control and tracking for AI model development
  • Excellent problem-solving skills and attention to detail
  • Outstanding communication and collaboration capabilities
  • Self-motivated with a passion for AI innovation
  • Ability to work effectively in a fast-paced environment.

If Verizon and this role sound like a fit for you, we encourage you to apply even if you don’t meet every “even better” qualification listed above.

#TPDNONCDIO



Where you’ll be working

In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager.

Scheduled Weekly Hours

40

Equal Employment Opportunity

Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to race, gender, disability or any other legally protected characteristics.