Gen AI

Job Title: GenAI Engineer Location: Houston Texas We are seeking a highly skilled and experienced Gen AI Developer or AI Developer to join a leading enterprise client. The successful candidate will be responsible for designing, implementing, and maintaining AI/ML models at an enterprise scale, with a focus on model serving, evaluation, and automated testing. Key Responsibilities: • Develop and deploy large-scale AI/ML models, with a focus on Generative AIsolutions. • Lead the design and implementation of model serving infrastructure to ensure high availability, scalability, and performance. • Perform model evaluation, continuous monitoring, and automated testing to ensure robustness and reliability. • Collaborate with cross-functional teams to integrate AI models into existing enterprise systems and platforms. • Continuously optimize model pipelines for both accuracy and efficiency, leveraging state-of-the-art techniques. • Provide expertise in the full lifecycle of AImodels, including data preprocessing, training, validation, and production deployment. • Mentor junior AI developers and work closely with architects, PMs, and other team members to deliver enterprise-grade AI solutions. • Stay up-to-date with the latest advancements in AI/ML, especially in the Generative AI domain, and apply them to improve the platform. • Qualifications: • Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. • 5+ years of experience in AI/ML model development, with a strong focus on Generative AI. • Proven experience in building, deploying, and managing AI models in enterprise environments. • Azure Open AI Exp • Assistant API • Chat Completions • How to Create API • Any LLM integration Experience (Google/OpenAI Proper) • Strong python coding experience • basic knowledge of solution architecture • Proficiency in Python, TensorFlow, PyTorch, or similar AI/ML frameworks. • Hands-on experience with model serving platforms like TensorFlow Serving, MLflow, or custom enterprise solutions. • Strong understanding of model evaluation metrics, A/B testing, and automated testing frameworks. • Experience with cloud platforms such as Azure, AWS, or GCP for AI/ML model deployment. • Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment. Preferred Skills: • Experience with large language models (LLMs) and transformer-based architectures. • Familiarity with MLOps practices for automating and streamlining AI/ML pipelines. • Strong knowledge of API development and integration. • Experience working in industries such as finance, healthcare, or manufacturing, where AI can drive digital transformation.