Direct message the job poster from AI Factory At AI Factory, we transform raw data into actionable insights, enabling organizations to make better decisions and drive meaningful outcomes. Our flagship product is a cutting-edge data workflow and reporting tool that leverages the power of AI and machine learning. We embrace innovation and value collaboration, and we're building a team of talented individuals who thrive in an environment of curiosity and creativity. Job Title: AI Engineer Location: Remote Experience Level: 5+ Years Programming What We Do We use modern AI technologies and frameworks to design, deploy, and scale data workflows. Our tech stack includes: Programming & Data: Python, Pandas, Num Py, Scikit-learn AI & Machine Learning: Py Torch, Open AI, Lang Chain, Llama Index Data Orchestration: Dagster Infrastructure: Docker, CI/CD, Pulumi Workflow Design: YAML-driven workflows for asset processing and report generation We continuously evaluate and adopt emerging technologies to push the boundaries of what AI can achieve. About the Role We are seeking a hands-on AI Engineer to join our small but ambitious team. You will play a critical role in designing, implementing, and optimizing AI-driven workflows, working directly with the co-founders to break high-level goals into actionable deliverables. This role requires someone who thrives in a fast-paced startup environment, can manage complexity, and is eager to contribute across the product lifecycle, from concept to deployment. Responsibilities Build and Optimize AI Workflows: Design and implement robust data pipelines for large-scale document processing, metadata extraction, summarization, and reporting. Develop AI Features: Integrate LLMs, embeddings, and vector databases into workflows to deliver powerful, intelligent user experiences. Orchestrate Data Pipelines: Use Dagster to manage multi-stage pipelines and ensure scalability, reliability, and observability in workflows. Eval Testing: Implement evaluation frameworks to assess pipeline performance, using human-in-the-loop processes to refine models and improve system outputs. CI/CD & Automation: Establish and maintain CI/CD workflows to streamline deployments and ensure reliable operations. Collaborate with Stakeholders: Partner with co-founders and other team members to understand product requirements and translate them into epics, stories, and actionable tasks. Support Production Systems: Monitor deployed workflows, address bugs, and enhance system performance to ensure high availability and reliability. Stay Current: Research and recommend new technologies and methods to maintain a leading-edge product. What We’re Looking For We value people who are excited to solve tough problems and take ownership of their work. Ideal candidates will have the following: Must-Have Skills5+ years of hands-on experience in software engineering, with a strong focus on production systems. Proficiency in Python and data science libraries (e.g., Pandas, Num Py, Scikit-learn). Experience working with machine learning frameworks (e.g., Py Torch) and LLMs (e.g., Open AI APIs, Lang Chain, Llama Index). Expertise in data pipeline orchestration tools (e.g., Dagster or similar). Strong understanding of CI/CD pipelines and containerization tools (e.g., Docker). Ability to work independently, take initiative, and prioritize tasks in a startup environment. Nice-to-Have Skills Experience with YAML-driven workflows or similar configuration-based systems. Knowledge of infrastructure as code tools like Pulumi or Terraform. Familiarity with Postgres databases, vector stores, and distributed systems. Experience using tools like promptfoo or W&B Weave to design and implement evaluation/testing for AI prompts. Experience in building user-facing AI products or reporting tools. Prior work in a startup or small team environment. What You’ll Love About Working With Us Impactful Work: Shape the development of a flagship product and make a tangible difference in how organizations leverage AI to solve real-world challenges. Agile Environment: Work closely with co-founders and a lean, innovative team that values transparency, collaboration, and fast execution. Professional Growth: Opportunities to learn and adopt cutting-edge AI technologies and methodologies. Flexibility: Fully remote work with the freedom to manage your own schedule. Mission-Driven: Be part of a company passionate about enabling organizations to unlock the full potential of their data. How to Apply Send your resume to lance@aifactory.nz or flick me a message. Seniority level Mid-Senior level Employment type Full-time Industries Technology, Information and Internet
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