Role:- GenAI Integration Engineer Job Location: NYC, NY/ Dallas, TX Duration: 6+ Months Visa Type:- No OPT/CPT/H1B Key Responsibilities: • API Development & Integration: Design, develop, and maintain APIs and microservices to expose generative AI models for consumption by various applications and platforms. • Pipeline Development (MLOps/GenAI Ops): Build and optimize end-to-end data and model pipelines for training, fine-tuning, evaluating, and deploying generative AI models in production environments. This includes data ingestion, preprocessing, model serving, and monitoring. • System Architecture & Design: Collaborate with MLOps engineers, data scientists, and software architects to design scalable, reliable, and secure architectures for integrating generative AI solutions. • Model Deployment & Management: Deploy and manage generative AI models (e.g., Large Language Models (LLMs), diffusion models, GANs) on various cloud platforms (AWS, Azure, GCP) and on-premise infrastructure, leveraging containerization (Docker) and orchestration tools (Kubernetes). • Performance Optimization: Optimize the performance, efficiency, and cost-effectiveness of integrated Gen AI solutions, including latency reduction and resource utilization. • Prompt Engineering & Fine-tuning: Work with data scientists and product teams on prompt engineering strategies and model fine-tuning to achieve desired outputs from generative models for specific use cases. • Monitoring & Troubleshooting: Implement robust monitoring, logging, and alerting systems for integrated Gen AI solutions to ensure performance, identify issues, and facilitate quick resolution. • Collaboration: Work closely with cross-functional teams including AI/ML researchers, data scientists, software developers, product managers, and QA engineers to translate research prototypes into production-ready solutions. • Documentation: Create comprehensive technical documentation for APIs, integration patterns, deployment procedures, and operational guidelines. • Stay Current: Keep abreast of the latest advancements, tools, and best practices in Generative AI, machine learning, and cloud technologies. • Ethical AI: Ensure adherence to ethical AI principles, data privacy, and security best practices throughout the integration process. Required Skills and Qualifications: • Education: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related quantitative field. • Programming: Strong proficiency in Python, with extensive experience in developing production-grade applications. Generative AI Models: Solid understanding of generative AI model architectures (e.g., Transformers, GANs, VAEs, Diffusion Models) and their applications Thanks & Regards, Alok Kumar | TALENDICA Sr. Technical Recruiter 44 Saratoga Lane, Monroe Township, NJ 08831 Phone: 929-841-5531 Email: alok@talendica.com