AI Engineer

March 21

Apply Now

Receive Emails with Similar Jobs

iGenius

WebsiteLinkedInAll Job Openings

iGenius is a company specializing in artificial intelligence solutions, providing AI-powered decision intelligence tools for businesses. Their offerings include one of the world's largest AI supercomputers and a range of custom AI solutions designed to enhance data analysis and business growth. iGenius collaborates with renowned companies like NVIDIA and Microsoft to develop AI solutions that meet regulatory requirements for mission-critical use cases, especially in regulated industries. They aim to make data more accessible and empower organizations through advanced AI technologies.

Augmented Analytics • Conversational Analytics • NLQ • Artificial Intelligence

51 - 200 employees

🤖 Artificial Intelligence

🤝 B2B

🏢 Enterprise

📋 Description

• We’re looking for a talented AI Engineer to join our team focused on implementing and scaling large language models (LLMs) and generative AI systems. • In this role, you will bridge the gap between cutting-edge research and practical applications, turning innovative AI concepts into robust, efficient, and production-ready systems. • You will work closely with our research team and data engineers to build and optimize AI solutions that drive our company's products and services. • Implement and optimize large language models and generative AI systems for production environments. • Collaborate with researchers to translate research prototypes into scalable, efficient implementations. • Design and develop AI infrastructure components for model training, fine-tuning, and inference. • Optimize AI models for performance, latency, and resource utilization. • Implement systems for model evaluation, monitoring, and continuous improvement. • Develop APIs and integration points for AI services within our product ecosystem. • Troubleshoot complex issues in AI systems and implement solutions. • Contribute to the development of internal tools and frameworks for AI development. • Stay current with emerging techniques in AI engineering and LLM deployment. • Collaborate with data engineers to ensure proper data flow for AI systems. • Implement safety measures, content filtering, and responsible AI practices.

🎯 Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or related technical field • 3+ years of hands-on experience implementing and optimizing machine learning models • Strong programming skills in Python and related ML frameworks (PyTorch, TensorFlow) • Experience with deploying and scaling AI models in production environments • Familiarity with large language models, transformer architectures, and generative AI • Knowledge of cloud platforms (AWS, GCP, Azure) and containerization technologies • Understanding of software engineering best practices (version control, CI/CD, testing) • Experience with ML engineering tools and platforms (MLflow, Kubeflow, etc.) • Strong problem-solving skills and attention to detail • Ability to collaborate effectively in cross-functional teams • Experience with fine-tuning and prompt engineering for large language models • Knowledge of distributed computing and large-scale model training • Familiarity with model optimization techniques (quantization, pruning, distillation) • Experience with real-time inference systems and low-latency AI services • Understanding of AI ethics, bias mitigation, and responsible AI development • Experience with model serving platforms (TorchServe, TensorFlow Serving, Triton) • Knowledge of vector databases and similarity search for LLM applications • Experience with reinforcement learning and RLHF techniques • Familiarity with front-end technologies for AI application interfaces

🏖️ Benefits

• iGenius offers a competitive compensation structure, including salary, performance-based bonuses, and additional components based on experience. • All roles include comprehensive benefits as part of the total compensation package.