Senior GEN AI Engineer

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.

Key Responsibilities:

• 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.

Required Skills:

• 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.