Artificial Intelligence Engineer

Your Responsibilities: Full Stack Development: Design, develop, and maintain end-to-end AI solutions, including Front End interfaces, Back End services, and data pipelines. AI System Development: Implement and optimize AI models, ensuring they are scalable, maintainable, and production-ready. Work on GenAI, Agentic AI, and classic ML solutions. Enterprise Integration: Integrate AI solutions with existing enterprise systems and ensure seamless operation within the client''s technology stack. Collaboration: Work closely with cross-functional teams, including data scientists, software engineers, and business stakeholders, to identify opportunities and deliver robust AI solutions. Technical Leadership: Provide technical guidance and mentorship to junior engineers. Lead the implementation of best practices in AI/ML development and deployment. Innovation: Stay updated with the latest advancements in AI/ML technologies and contribute to the development of innovative solutions. Your Profile Essential skills/knowledge/experience: Proficiency in Python and extensive experience with AI/ML/NLP libraries (eg, Hugging Face Transformers, spaCy, NLTK). Experience with state-of-the-art LLMs (eg, GPT series, Llama series, Mistral, Claude), including prompt engineering, fine-tuning, and evaluation. Hands-on experience with core GenAI frameworks (eg, LangChain, LlamaIndex) and Agentic AI frameworks (eg, AutoGen, CrewAI, LangGraph). Proficiency in MLOps/LLMOps tools (MLflow, Kubeflow, Docker, ..... full job details .....