About this role
Job Summary
We are looking for a skilled Generative AI Engineer to design, develop, and deploy AI-powered applications leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, and modern AI frameworks. The ideal candidate should have hands-on experience in building enterprise-grade Generative AI solutions and integrating them into business applications.
Preferred Skills
- Experience with Machine Learning and Deep Learning concepts.
- Knowledge of MLOps tools such as MLflow, Kubeflow, or Azure ML.
- Experience with Docker, Kubernetes, and CI/CD pipelines.
- Understanding of AI Security, Responsible AI, and Model Governance.
- Exposure to multimodal AI solutions involving text, image, audio, or video models.
Educational Qualification
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field.
Soft Skills
- Strong analytical and problem-solving skills.
- Excellent communication and stakeholder management abilities.
- Ability to work independently and within Agile teams.
- Strong collaboration and teamwork skills.
- Continuous learning mindset with a passion for emerging AI technologies.
Nice to Have
- Microsoft Azure AI Engineer Associate Certification.
- Experience building enterprise AI assistants and copilots.
- Exposure to Retail, BFSI, Healthcare, Manufacturing, or E-commerce domains.
- Experience with Agentic AI, Multi-Agent Systems, and Autonomous Workflows.
- Contributions to open-source AI projects or published AI research.