Gen AI Engineer_4+yrs

Zorba AI; Chennai District; On-site; INR 1,000,000 - 1,500,000; Full time

Job summary

A leading AI technology firm is seeking a highly skilled Generative AI Engineer to design and develop cutting-edge generative AI solutions. You will have hands-on experience with large language models, AWS Bedrock, and vector databases. Responsibilities include integrating AI solutions into workflows, optimizing models, and conducting research on AI trends. Strong skills in Python, prompt engineering, and collaboration are essential. An opportunity to innovate in a fast-paced environment awaits.

Qualifications

• 3–7 years of professional experience in AI/ML or related domains.
• Strong proficiency in Python and prompt engineering techniques.
• Hands-on experience with leading generative AI models including fine-tuning.
• Experience with AWS Bedrock and knowledge base implementations.
• Familiarity with serverless architecture and cloud platforms.
• Strong documentation and communication skills.

Responsibilities

• Design and develop AI-driven application solutions using generative models.
• Integrate solutions into existing enterprise workflows.
• Fine-tune large language models for performance.
• Build and manage robust data pipelines for handling large datasets.
• Conduct research on emerging generative AI trends.
• Implement testing frameworks for scalable AI systems.
• Evaluate model outputs ensuring bias and fairness.

Skills

Python

Prompt engineering

Generative AI models

AWS Bedrock

Azure OpenAI services

Data pipeline development

Model evaluation metrics

Version control (Git)

Technical documentation

Collaboration skills

Tools

AWS

Azure

Google Cloud Platform (GCP)

Job description

Job Summary

We are seeking a highly skilled Generative AI Engineer(GenAI) to design, develop, and deploy cutting‑edge generative AI solutions. The ideal candidate will have hands‑on experience with large language models (LLMs), Retrieval‑Augmented Generation (RAG), vector databases, and cloud‑based AI services. You will collaborate with cross‑functional teams to build scalable, production‑grade AI systems and drive innovation across business workflows.

Key Responsibilities

• Design and develop AI‑driven application solutions using generative models, RAG frameworks, vector databases, and vector search technologies.
• Integrate generative AI solutions into existing enterprise workflows and systems.
• Fine‑tune and optimize large language models for performance, scalability, and efficiency.
• Build and manage robust data pipelines for large‑scale dataset handling, model training, and evaluation.
• Conduct research on emerging generative AI trends, tools, and methodologies.
• Implement rigorous testing frameworks and develop scalable, maintainable AI systems.
• Evaluate model outputs using appropriate performance metrics, ensuring bias and fairness considerations.
• Troubleshoot and resolve issues related to AI models and deployment workflows.
• Maintain comprehensive technical documentation.
• Leverage AI coding assistants (e.g., GitHub Copilot) and version control systems (Git) for efficient development.
• Communicate complex AI concepts and technical findings to non‑technical stakeholders.

Required Qualifications

• 3–7 years of professional experience in AI/ML or related domains.
• Strong proficiency in Python and prompt engineering techniques.
• Hands‑on experience with leading generative AI models (e.g., Claude, OpenAI GPT, Gemini), including fine‑tuning and customization.
• Experience with AWS Bedrock (model access, knowledge base implementations).
• Working knowledge of Azure OpenAI services.
• Strong experience with AWS serverless architecture; familiarity with Azure or GCP is an advantage.
• Experience in building scalable data pipelines and handling large datasets.
• Knowledge of model evaluation metrics, bias detection, and fairness assessment.
• Experience with AI coding assistants and version control tools (Git).
• Strong documentation, collaboration, and communication skills.

Preferred Skills

• Experience in production‑grade AI deployments.
• Strong analytical and problem‑solving abilities.
• Ability to read, analyze, and implement recent AI research papers.
• Experience working in Agile environments.

Skills: agentic ai,llm,aws,generative ai