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

Gen AI Engineer_4+yrs