Principal AI Engineer

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. 

Now, we’re entering our next chapter—defined by applied AI. AI is a powerful force in the end-to-end software development cycle, and we’re creating practices that allow us to deliver software fast and more effectively than traditional approaches, creating meaningful value for our partners. Today, our builder mindset is driving us to become an AI-native organization across every function. We’re still evolving, and that’s part of the opportunity. If you want to build, learn, and tackle challenges alongside an ambitious team, let’s build together.

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.

• →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.

• 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

• 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

Able is powered by curious, thoughtful people who care about what they build and how they build it. We’re actively investing in our team through AI training, knowledge-sharing, and hands-on experimentation to ensure everyone grows alongside the technology.