AI Product Engineer

📋 Description

• • As an AI Product Engineer at Tag Software Group, you will be at the forefront of innovation, driving the creation of cutting-edge AI-powered products that are integral to our technological advancement. This role is designed for a proactive and entrepreneurial individual who thrives in a fast-paced environment, focusing on rapid development cycles, continuous experimentation, and the delivery of impactful solutions with measurable business outcomes.
• • You will own the entire product lifecycle, from the nascent stages of ideation and prototyping through to the complexities of deployment, scaling, and ongoing optimization. This is a deeply hands-on position, perfectly suited for those who are comfortable navigating ambiguity and possess a passion for transforming abstract concepts into tangible, market-ready tools.
• • If your ambition is to build sophisticated AI systems, meticulously deliver new features, engage in rigorous experimentation, and translate vague ideas into concrete, functional products, then this opportunity is tailor-made for you.
• • Your primary responsibility will be to design and launch novel AI products, guiding them from their initial conceptualization all the way to their successful production deployment. This involves not just the theoretical design but also the practical implementation and iteration.
• • You will be instrumental in developing robust APIs, efficient microservices, and intricate workflows that are powered by advanced AI models. This requires a strong understanding of how to bridge the gap between AI capabilities and practical application.
• • A significant part of your role will involve leveraging state-of-the-art tools and platforms, including but not limited to LangChain, OpenAI, Azure AI, and Promptfoo. Proficiency and familiarity with these technologies are key to success.
• • Collaboration is central to this role. You will work closely with product managers and other engineering teams to ensure seamless integration of AI capabilities into our broader product ecosystem. This cross-functional teamwork is vital for aligning AI initiatives with business objectives.
• • A critical aspect of your contribution will be the construction of comprehensive evaluation suites. These suites will be essential for rigorously testing and validating AI models, ensuring their performance, reliability, and accuracy meet our high standards.
• • You will be expected to build and integrate Retrieval-Augmented Generation (RAG) pipelines, a key technology for enhancing the contextual understanding and response generation of AI models.
• • Furthermore, you will gain experience with and potentially implement solutions using vector databases such as PostgreSQL with pgvector, Pinecone, Weaviate, or Milvus, which are crucial for managing and querying large datasets for AI applications.
• • This role offers a unique chance to contribute to a company that provides a permanent home for software businesses, focusing on long-term growth and value creation. You will be part of an ecosystem that includes proprietary technologies like ValPay and Sadie AI, providing a rich environment for learning and application.
• • The culture at Tag Software Group emphasizes high performance, collaboration, and continuous learning. You will be encouraged to 'Dream Big, Stay Humble, and Stay Hungry,' fostering an environment where your contributions are valued and your professional growth is a priority.
• • You will be empowered to experiment, iterate quickly, and make a tangible impact on the evolution of our software products through the strategic application of artificial intelligence.