AI Engineer - Fullstack

Overview

We are seeking a highly skilled AI Engineer with extensive experience in developing and deploying advanced AI models and systems. The ideal candidate will have a strong background in machine learning, deep learning, and AI frameworks such as Hugging Face, Lang Chain, Groq, Mixture of Agents, RAGs, Fireworks AI, Google Gemini 1.5 Pro, OpenAI GPT-4o/4o mini, Llama 3.1 Anthropic Claude 3.5 Sonnet, Cohere, and more.

This role demands expertise in implementing and integrating these technologies into production-ready applications, leveraging Python, PyTorch, and other relevant tools to create cutting-edge AI solutions.

• Model Development and Deployment:
  Design, develop, and deploy advanced machine learning and deep learning models using platforms such as Hugging Face, OpenAI, and Google Gemini. Implement models like GPT-4o, Llama 3.1 and Claude 3.5 Sonnet to enhance the intelligence and performance of our applications.
• Integration with AI Frameworks:
  Work with frameworks such as Lang Chain to build context-aware reasoning applications. Use a Mixture of Agents and RAGs (Retrieval-Augmented Generation) to create sophisticated AI systems capable of complex tasks like multi-modal data processing and autonomous decision-making.
• Optimization and Performance Tuning:
  Optimize AI models for performance and scalability. Leverage Groq and other advanced hardware acceleration technologies to ensure that our AI solutions are both efficient and effective in real-time applications.
• Collaboration with Cross-Functional Teams:
  Work closely with data scientists, software engineers, and product managers to integrate AI models into our products. Collaborate on the end-to-end lifecycle of AI development, from data preparation and model training to deployment and monitoring.
• Exploration and Innovation:
  Stay updated with the latest advancements in AI and machine learning. Explore and implement new AI techniques and frameworks, such as Fireworks AI and Google Gemini 1.5 Pro, to maintain our competitive edge.
• Tooling and Infrastructure:
  Build and maintain AI tooling and infrastructure, using Python, PyTorch, and related technologies. Ensure that our AI systems are robust, reliable, and scalable.

• Experience:
  
  Minimum of 5+ years in AI engineering, with a focus on developing and deploying machine learning and deep learning models. Experience with Hugging Face, OpenAI, Google Cloud AI tools, and other cutting-edge AI technologies is required.
• Technical Expertise:
  Proficiency in Python, PyTorch, and other relevant programming languages and frameworks. Deep understanding of AI model development, from research and prototyping to production deployment.
• AI and ML Tools:
  Extensive experience with modern AI tools and platforms, including Lang Chain, Groq, Google Gemini, Llama, Claude, and Cohere.
• Educational Background: A degree in Computer Science, Engineering, Data Science, or a related field is required. Advanced degrees are a plus.
• Problem-Solving
  
  Skills:
  
  Strong analytical and problem-solving skills with the ability to apply AI solutions to complex business challenges.
• Communication:
  Excellent verbal and written communication skills, with the ability to work effectively in a remote, collaborative environment.