Senior AI Engineer / Staff AI Engineer (Generative AI & LLMs)

Job Summary

We are seeking an experienced Senior AI Engineer / Staff AI Engineer to design, develop, and deploy next-generation AI-powered applications that transform customer experiences. The ideal candidate will have deep expertise in Generative AI, Large Language Models (LLMs), AI Agents, Machine Learning, and MLOps, along with a strong software engineering background. You will collaborate with cross-functional teams to build scalable AI solutions, evaluate emerging AI technologies, and deliver production-ready intelligent systems.

Key Responsibilities

• Design and develop end-to-end AI solutions that leverage the latest advancements in Generative AI, LLMs, Reasoning Models, and Multi-modal AI.
• Build scalable AI applications and autonomous AI agents capable of solving complex business problems.
• Collaborate closely with product, engineering, and platform teams to rapidly prototype, test, and deploy innovative AI capabilities.
• Develop robust data pipelines, model evaluation frameworks, and automated retraining workflows.
• Ensure high standards for data quality, model monitoring, lifecycle management, and MLOps.
• Conduct experimentation, A/B testing, and rapid prototyping to validate AI solutions and optimize customer experiences.
• Champion Responsible AI by ensuring fairness, transparency, explainability, privacy, and ethical AI practices.
• Optimize AI model performance, scalability, latency, and cost efficiency in production environments.
• Mentor junior engineers and foster a culture of innovation, continuous learning, and technical excellence.
• Stay current with the latest developments in AI research and integrate emerging technologies into production systems.

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field.
• 8+ years of experience designing, building, and deploying enterprise-scale AI/ML solutions.
• Strong expertise in:
• Large Language Models (LLMs)
• Generative AI
• AI Agents
• Reasoning Models
• Multi-modal AI
• Deep Learning
• Hands-on experience building AI systems for:
• Forecasting & Planning
• Decision Making Under Uncertainty
• Multi-objective Optimization
• Learning from Human Feedback (RLHF)
• Deep Personalization
• Intelligent Data Cognition
• Strong programming skills in Python, with experience in AI frameworks such as PyTorch, TensorFlow, or JAX.
• Experience with vector databases, embeddings, Retrieval-Augmented Generation (RAG), prompt engineering, and agent orchestration.
• Strong knowledge of Machine Learning fundamentals including:
• Data Structures & Algorithms
• Statistical Modeling
• Model Training & Evaluation
• Feature Engineering
• Experimentation & A/B Testing
• MLOps

Preferred Qualifications

• Experience building large-scale AI platforms on AWS, Azure, or Google Cloud Platform (Google Cloud Platform).
• Hands-on experience with LangChain, LangGraph, LlamaIndex, AutoGen, Semantic Kernel, or similar AI orchestration frameworks.
• Experience with containerization and orchestration technologies such as Docker and Kubernetes.
• Familiarity with distributed training, model optimization, and GPU acceleration.
• Experience implementing CI/CD pipelines for AI and Machine Learning deployments.
• Knowledge of vector databases including Pinecone, Weaviate, ChromaDB, Milvus, or FAISS.