About this role.
Able is hiring a Principal AI Engineer to set technical direction and deliver production AI systems for partner businesses. The role combines hands-on engineering leadership with AI strategy, client consulting, business development, and internal enablement. Candidates need 12+ years of AI/ML systems experience, deep fluency in LLM production patterns such as RAG, vector databases, agentic frameworks, evaluations, and guardrails. This is a full-time, 40-hour-per-week remote role restricted to Latin America and requires strong English communication. The successful candidate will translate commercial problems into practical AI products while mentoring teams and influencing executive stakeholders.
Role DNA
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Job Complexity
5/5Pace & Pressure
5/5Autonomy Level
5/5Communication Load
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Core skills
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Sample interview questions
I would explain the customer problem, baseline metrics, architecture, model and retrieval choices, evaluation approach, launch plan, and operating metrics. I would quantify the outcome, such as reduced handling time, improved conversion, or higher task-completion accuracy, and describe the key trade-offs made during delivery.
I start with the business workflow, decision risk, data availability, user behavior, and measurable value hypothesis. I compare generative AI with deterministic automation and traditional ML, then recommend a small validated pilot only when the expected benefit, reliability requirements, and operational constraints support it.
I would use permission-aware retrieval, source grounding and citations, robust document ingestion controls, adversarial testing, output validation, human escalation paths, and comprehensive observability. I would define offline and online evaluations for accuracy, faithfulness, refusal behavior, latency, cost, and safety before broad deployment.
I translate the technical proposal into workflow impact, financial upside, risks, implementation stages, and clear success measures. Rather than promising broad transformation, I present a decision-ready pilot with transparent assumptions, ownership, governance, and evidence needed to justify the next investment.
I would create lightweight, reusable standards for specifications, data handling, model selection, evaluation, security, observability, and release approval. I would support adoption through reference implementations, templates, coaching, and regular reviews, while allowing teams to adapt practices to their product risk and maturity.
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.
This position is 100% remote within LatAm.
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
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.
This position is 100% remote within LatAm. Strong verbal and written communication skills in English are a requirement. As a team member, you can expect:
- 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.
- Wellness + Remote Stipend
- AI Voucher
About Able
Able builds technology products in a portfolio model. We believe that people, teams, and processes are more important than the ideas themselves, so we’ve focused on bringing great people together, and investing in their growth.
We’ve built products in a variety of industries. Everything from media to finance to toys to healthcare. Sometimes we work with management teams to help their businesses grow faster or unlock value using technology. Other times we start or buy businesses outright. Each time, we look for opportunities to leverage technology built at the portfolio-level to drive value faster.
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.
This is but the beginning of a conversation we’d love to have with you.
Apply, and let’s get this adventure started!
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