Generative AI

Highlights:

 5.50 – 7.60 Years

 12.00 – 18.00 INR (Lacs)/Yearly

 Full-time

 Bengaluru

Skills

Generative Ai

Generative AI/AI/Machine Learning/Python

Generative AI LLM

Generative Ai and Agentic Ai

Generative Ai Prompt Engineer Github Copilot Llm

Generative Ai Security

Generative AI (GenAI)

generative AI.

Roles & Responsibility

Responsibilities

• Design, develop, and deploy generative AI models and applications using cutting-edge frameworks and technologies
• Conduct research and experimentation to improve model performance, accuracy, and efficiency across various use cases
• Collaborate with cross-functional teams including data scientists, engineers, and product managers to translate business requirements into AI solutions
• Implement prompt engineering techniques and fine-tuning strategies for large language models and foundation models
• Develop scalable pipelines for data preprocessing, model training, and inference in production environments
• Optimize model inference speed and reduce computational costs through quantization and other performance enhancement techniques
• Document technical specifications, architecture decisions, and best practices for generative AI implementations
• Mentor junior team members and contribute to knowledge sharing within the organization

Requirements

Project Role : AI Infrastructure Architect
Project Role Description : Architect and build custom Artificial Intelligence (AI) infrastructure/hardware solutions. Optimize AI infrastructure/hardware performance, power consumption, cost and scalability of computational stack. Advise on AI infrastructure technology and vendor evaluation, selection and full stack integration.
Must have skills : Generative AI
Good to have skills : Amazon Web Services (AWS)
Minimum 5 year(s) of experience is required
Educational Qualification : 15 years full time education

Role Summary / Description
AI Powered Tech Talent
Engineer role in AI LLM Technology Architecture. Hands-on engineering role focused on designing, building, integrating, testing and operationalizing enterprise-grade LLM, GenAI and agentic AI components across active client engagements.