Our client is currently seeking a Senior GEN AI Engineer

About the Role

We are seeking an experienced Senior AI Engineer to lead the design, development, and deployment of cutting-edge AI solutions that drive business innovation and measurable outcomes. This role is ideal for a highly skilled professional with expertise in Machine Learning, Deep Learning, Generative AI, Large Language Models (LLMs), MLOps, and cloud-based AI platforms.

As a Senior AI Engineer, you will collaborate with cross-functional teams to build scalable, production-ready AI applications, transform complex business challenges into intelligent solutions, and contribute to the organization's AI strategy and best practices.

Key Responsibilities

• Design, develop, and deploy scalable AI/ML solutions for enterprise applications and business-critical use cases.
• Build, train, optimize, and maintain machine learning and deep learning models for production environments.
• Develop advanced Generative AI applications leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, and Prompt Engineering.
• Fine-tune foundation models using domain-specific datasets and evaluate model performance for accuracy, reliability, and business impact.
• Implement AI orchestration frameworks such as LangChain and LlamaIndex to power intelligent workflows and agent-based systems.
• Develop and maintain robust data pipelines for model training, evaluation, deployment, and continuous improvement.
• Collaborate with product managers, architects, data scientists, and business stakeholders to translate business requirements into AI-driven solutions.
• Establish and enforce MLOps best practices, including CI/CD automation, model versioning, monitoring, governance, and lifecycle management.
• Ensure AI systems meet performance, security, scalability, compliance, and reliability standards.
• Provide technical leadership, mentor junior engineers, and drive adoption of AI engineering best practices across the organization.

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field.
• 7+ years of experience in software engineering, machine learning, or AI solution development.
• Strong programming expertise in Python and experience developing enterprise-grade applications.
• Hands-on experience with machine learning and deep learning frameworks such as TensorFlow, PyTorch, and Scikit-learn.
• Proven experience developing solutions using Generative AI, LLMs, RAG architectures, AI Agents, and Prompt Engineering techniques.
• Strong understanding of Natural Language Processing (NLP) concepts, methodologies, and toolsets.
• Experience with vector databases such as Pinecone, Chroma, Weaviate, or FAISS.
• Working knowledge of AI orchestration frameworks including LangChain and LlamaIndex.
• Experience implementing MLOps practices and tools for model deployment, monitoring, and governance.
• Hands-on experience with cloud AI services on Microsoft Azure, AWS, or Google Cloud Platform (GCP).
• Familiarity with Docker, Kubernetes, containerization, and microservices architecture.
• Excellent analytical, problem-solving, communication, and stakeholder management skills.

Preferred Qualifications

• Experience deploying AI solutions at enterprise scale.
• Knowledge of Responsible AI, AI governance, and model risk management frameworks.
• Experience working with distributed systems, data platforms, and modern cloud-native architectures.
• Relevant certifications in Azure AI, AWS Machine Learning, Google Cloud AI, or related technologies.
• Experience leading technical teams and mentoring engineers.

What You'll Bring

• Passion for building innovative AI-powered products and solutions.
• Ability to balance research and experimentation with production delivery.
• Strong collaboration skills with technical and non-technical stakeholders.
• A continuous learning mindset and enthusiasm for emerging AI technologies.

Medical, dental, and vision insurance are available to qualified candidates who meet eligibility requirements.

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