Gen AI Engineer_4+yrs

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

·       4–7 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.