At Human Agency, we are shaping the future by combining cutting-edge AI solutions with intuitive software development. We specialize in building scalable and secure SaaS applications that empower enterprise clients to solve complex problems efficiently. As part of our team, you'll work on high-impact projects at the intersection of AI, machine learning, and secure software engineering. We’re seeking a Senior Full-Stack Engineer to join our growing team. In this role, you'll lead development initiatives, contribute to our SaaS products, and tackle exciting challenges in backend architecture, frontend design, and AI/ML integrations with a particular focus on generative AI technologies. SaaS Application Development Develop backend algorithms to process articles, chunk content, and integrate with LLMs for predictive text generation. Build APIs and services to manage and scale the application’s content workflow. Create secure PDF upload workflows with encryption to ensure compatibility with Adobe Acrobat. Integrate authentication mechanisms like Okta for enterprise customer admin management. Enable data recovery, auditing capabilities, and enterprise-grade administrative tools. Develop backend algorithms to process articles, chunk content, and integrate with LLMs for predictive text generation. Build APIs and services to manage and scale the application’s content workflow. Create secure PDF upload workflows with encryption to ensure compatibility with Adobe Acrobat. Integrate authentication mechanisms like Okta for enterprise customer admin management. Enable data recovery, auditing capabilities, and enterprise-grade administrative tools. AI/ML and Algorithm Development Collaborate with AI/ML teams to operationalize models such as OCR (Optical Character Recognition) and generative AI-based solutions (e.g., GPT models). Implement RAG (Retrieval-Augmented Generation) use cases using vector databases and data embedding techniques to enhance application functionality. Design workflows for large-scale data processing that enable efficient AI integrations and create dynamic AI-first features, such as custom GPTs tailored to enterprise needs. Collaborate with AI/ML teams to operationalize models such as OCR (Optical Character Recognition) and generative AI-based solutions (e.g., GPT models). Implement RAG (Retrieval-Augmented Generation) use cases using vector databases and data embedding techniques to enhance application functionality. Design workflows for large-scale data processing that enable efficient AI integrations and create dynamic AI-first features, such as custom GPTs tailored to enterprise needs. DevOps & Operationalization Establish CI/CD pipelines and formal release structures for software delivery. Conduct security evaluations to identify vulnerabilities and optimize performance across AI-driven SaaS applications. Manage infrastructure and workflows for custom AI solutions, including tools like Snowflake and LangChain. Establish CI/CD pipelines and formal release structures for software delivery. Conduct security evaluations to identify vulnerabilities and optimize performance across AI-driven SaaS applications. Manage infrastructure and workflows for custom AI solutions, including tools like Snowflake and LangChain. Future-Focused Development Build integrations and proof-of-concept applications leveraging company-specific datasets and AI technologies. Evaluate and implement tools for classification, indexing, and secure data management that incorporate the latest in generative AI advancements. Support the development of enterprise-grade AI solutions, including internal AI models and custom LLMs. Build integrations and proof-of-concept applications leveraging company-specific datasets and AI technologies. Evaluate and implement tools for classification, indexing, and secure data management that incorporate the latest in generative AI advancements. Support the development of enterprise-grade AI solutions, including internal AI models and custom LLMs.