Gen AI Engineer

· Design, develop, and deploy AI/ML solutions for enterprise applications.

· Build and optimize machine learning and deep learning models for production environments.

· Develop Generative AI applications using LLMs, Retrieval-Augmented Generation (RAG), and AI agents.

· Fine-tune and evaluate foundation models using domain-specific datasets. Implement prompt engineering strategies and AI orchestration frameworks such as LangChain or LlamaIndex. Develop scalable data pipelines for model training, evaluation, and deployment.

· Collaborate with product managers, architects, and business stakeholders to translate business requirements into AI solutions.

· Implement MLOps practices including CI/CD, model monitoring, versioning, and governance.

· Ensure AI models meet performance, security, scalability, and compliance requirements.

· Mentor junior engineers and contribute to AI best practices across the organization.

· Job Summary We are seeking a highly skilled Senior AI Engineer to design, develop, and deploy AI-powered solutions that drive business value.

· The ideal candidate will have strong experience in Machine Learning, Deep Learning, Generative AI, Large Language Models (LLMs), MLOps, and cloud-based AI platforms.

· The role involves working closely with cross-functional teams to build scalable AI applications and bring innovative AI solutions into production., · Strong programming skills in Python.

· Hands-on experience with Machine Learning and Deep Learning frameworks such as TensorFlow, PyTorch, and Scikit-learn.

· Experience working with Generative AI, LLMs, RAG, AI Agents, and Prompt Engineering.

· Knowledge of Natural Language Processing (NLP) techniques and tools.

· Experience with vector databases such as Pinecone, Chroma, Weaviate, or FAISS.

· Familiarity with AI orchestration frameworks including LangChain and LlamaIndex.

· Strong understanding of MLOps tools and practices. Experience with cloud platforms such as Azure AI, AWS, or Google Cloud Platform.

· Knowledge of Docker, Kubernetes, and microservices architecture.

· Strong analytical, problem-solving, and communication skills.