Hearst Magazines · 3 months ago
AI Full Stack Engineer
Hearst Magazines is actively forming a team of enthusiastic, creative, and driven technologists. As a Full Stack AI Engineer, you will be responsible for designing, developing, testing, and deploying AI-based applications that leverage large language models and work closely with other developers and product managers to deliver high-quality solutions.
Media and EntertainmentPublishing
Responsibilities
Develop AI / ML Models and Intelligent Automation processes as needed
Design and implement scalable, robust, and efficient AI systems that use agents or large language models for various natural language processing tasks such as text generation, summarization, question answering, sentiment analysis, etc
Optimize the performance, accuracy, and reliability of the AI systems using state-of-the-art techniques and tools
Conduct code reviews, testing, debugging, and documentation of the AI systems
Deploy and monitor the AI systems in production environments and ensure their availability and reliability
Collaborate with product managers, data scientists, and customers to understand their requirements and provide feedback and suggestions for improvement
Research and evaluate new technologies and trends in the AI and large language models domain and propose innovative solutions
Qualification
Required
Master's degree or higher in Computer Science, Engineering, Mathematics, or related field
At least 5 years of experience in software development, preferably in AI or natural language processing
Excellent communication, collaboration, and problem-solving skills
Must be proficient in Python and SQL
Built at least 1-2 generative AI projects in the last 18 months using frameworks such as LangChain and LlamaIndex
Hands-on experience with large language models and agents such as GPT-4, Gemini, Llama, Mistral and their applications
Strong knowledge of natural language processing concepts and techniques such as tokenization, embedding, attention, transformers, etc
Experience with Pandas and/or polars and PyTorch experience is desired
Experience with big data technologies such as Pyspark
Experience with cloud platforms such as AWS, Azure, or Google Cloud and their AI services
Experience with agile development methodologies and tools such as Azure DevOps or Git
Excellent communication, collaboration, and problem-solving skills
Passionate about learning new technologies and staying updated with the latest developments in the AI and large language models' field
Company
Hearst Magazines
Hearst Magazines is a Media Production house.
H1B Sponsorship
Hearst Magazines has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2024 (1)
2023 (1)
Funding
Current Stage
Late StageRecent News
2025-09-23
2025-08-29
Company data provided by crunchbase