Back in 2012, we were a group of engineers and designers who decided we wanted to build things—so we did. Able started as an engineering and product hub building for a portfolio of early-stage startups. We built many relationships while developing products that were thoughtful, effective, and genuinely useful. But, since then, we’ve grown… and so has our ambition. Remote position: 100% remote within Latin America. About the Role As our Principal AI Engineer, you will lead the design and implementation of production AI systems that solve real business problems for our partners and shape how Able builds. You were a Technical Founder, Co-founder, or founding engineer at an AI company. You have the scar tissue of taking something to market and learning why product‑market fit is hard. You will set the technical bar for AI at Able, working at the spec and acceptance layer of an AI‑native engineering model, and play a key role in establishing Able as a leader in the AI space. What We’re Looking For Day‑to‑Day Responsibilities Technical Leadership: you will lead technical conversations, be hands‑on in building applications or proofs of concepts, and establish AI/ML guidelines and standards for our partners, prospects, and across the organization. Entrepreneurship: you will spot market opportunities to match technology with business outcomes, bringing a builder’s instinct for what will and won’t land commercially. AI Thought Leadership and Innovation: you will drive Able’s AI strategy forward by constantly exploring and implementing cutting‑edge AI technologies, frameworks, and tools. Consulting/Business Development: you will work with partners and prospects to understand their business and conceive of opportunities to introduce technology (AI specifically) to improve performance. AI Enablement: you will provide coaching and mentorship, continuously enhancing our team’s and partner teams AI capabilities through knowledge sharing and training on the latest technology and best practices. Required Skills & Experience 12+ years building AI/ML systems, with production experience shipping and operating them Fluency with the modern LLM stack: frontier models, RAG, vector databases, agentic frameworks, and the evals and guardrails that make them trustworthy in production You operate in the spec‑and‑harness model, leveraging agentic coding tools (Claude Code, Cursor, etc.,) at the spec and acceptance layer Demonstrated experience leading large and complex projects Proven experience integrating ML and generative models with existing web and mobile applications Innate ability to effectively interact and inspire our partners and executive stakeholders on new AI ideas Demonstrated skill in connecting business challenges to the potential benefits of AI, and effectively communicating those opportunities to non‑technical audiences Excellent English verbal and written communication Nice to Have Master’s or Ph.D. degree in Computer Science, Engineering, or a related field, with a strong focus on AI and Machine Learning Experience with MCP, graph‑based retrieval, or multimodal pipelines Benefits To work 40 hours per week, and be available during normal business hours as needed Payments made in USD 18 days of PTO per year, observance of local holidays, and an annual break between Christmas and New Years A monthly wellness stipend and snack boxes delivered to your home Able is committed to inclusion and diversity and is an equal‑opportunity employer. All applicants will receive consideration without regard to race, color, religion, gender, gender identity, sexual orientation, national origin, disability, or veteran status. #J-18808-Ljbffr