Posted on:
October 28, 2024
Company Description
hiair.ai is an innovative AI company located in the San Francisco Bay Area, focused on revolutionizing the job application process. Our AI technology optimizes resumes for specific job postings, helping clients stand out on professional networks like LinkedIn. We aim to simplify and enhance the job search experience for students and young professionals through cutting-edge AI solutions.
Role Description
This is a full-time hybrid role for an AI Engineer at hiair.ai. The AI Engineer will be responsible for tasks including pattern recognition, neural networks, software development, and natural language processing. While the role is primarily located in the San Francisco Bay Area, some remote work is acceptable.
Key Responsibilities:
• Participate in the development and enhancement of AI platform capabilities at hiair.ai, focusing on both Generative AI and Traditional AI for enterprise on-premises and cloud platforms.
• Lead the delivery and deployment of AI models to on-prem infrastructure and cloud platforms (e.g., GCP-Vertex AI, Azure ML), ensuring seamless integration and scalability.
• Collaborate closely with data scientists to optimize the AI scoring pipeline for improved performance and accuracy.
• Develop automation tools and frameworks for streamlining the deployment of ML Models and LLM Models in enterprise environments.
• Create and implement automated solutions for model scoring and inferencing, ensuring efficiency and consistency.
• Build and deploy standardized data pipeline solutions for model consumption across multiple Lines of Business (LOBs).
• Work with product owners, DevOps teams, data scientists, and support teams to define and execute model scoring pipelines.
• Actively participate in daily stand-ups and collaborative sessions to drive platform development.
• Provide subject matter expertise to data science teams on software engineering, model deployment, and platform optimization.
• Manage end-to-end delivery of AI use cases, collaborating effectively with various teams and utilizing standardized platform processes.
• Support and troubleshoot production issues with the production support team, ensuring minimal downtime.
Key Requirements:
• 5+ years of experience with Python, focused on developing scalable and efficient solutions.
• 5+ years of experience with big data technologies (e.g., BigQuery, Hadoop) for managing and analyzing large datasets.
• 3 years of hands-on experience in the AIML domain, particularly MLOps, enhancing AI model lifecycle management.
• 2+ years of experience developing APIs using Python and FastAPI for robust communication between systems.
• 1+ year of experience with Document AI, Agent Builder, GCP search/conversation, or Dialogflow is a plus.
• Experience with LLM and Generative AI, including capability development or DevOps is an advantage.
• Experience developing APIs on GCP, Azure, or through API Gateways is preferred.
• Familiarity with vector databases and experience in model development is an added benefit.
By incorporating these responsibilities and qualifications, hiair.ai aims to continue pushing the boundaries of AI technology, making job search and application processes more efficient and tailored for aspiring professionals.