Able
Able is a product strategy and development studio. Able's vision is to build digital products that create a more inclusive and prosperous future for our people and partners. Our teams consist of exceptional Product Designers, Software Engineers, Product Managers, Project Managers, Data Scientists, and all-around company builders. We focus on creating small teams that work closely with partners (our term for “clients”) to start, accelerate, and grow business using technology. Our teams are capable of addressing every stage of the product life cycle including product strategy, research, design, and engineering.
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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
- A monthly wellness stipend and snack boxes delivered to your home
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!
Ready to apply?
Apply to Able
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.
What you’ll be doing
We are seeking someone who views the Knowledge Graph not just as a database, but as a living organism that requires constant care, feeding, and pruning. You understand that a RAG system is only as good as the data underlying it. You are intrigued by the complexity of ingesting massive, messy datasets and transforming them into clean, connected knowledge.
In short, someone who likes:
- Architecting Graph ETL: Designing and developing robust ETL pipelines specifically for graph ingestion. You aren't just dumping rows into tables; you are determining how disparate data sources connect, evolve, and relate in a graph structure.
- Data Ingestion at Scale: Managing high-volume data streams using tools like Kafka and implementing CDC (Change Data Capture) patterns to ensure the graph reflects real-time reality.
- Automated Graph Hygiene: Writing scripts and jobs for deduplication, orphan node detection, and data consistency checks. You take pride in a clean schema.
- Modeling Time: Handling complex temporal relationships (e.g., how property ownership or financial status changes over time) within the graph.
- Performance Tuning: Ensuring that as the graph grows (25k+ reports and beyond), the underlying query performance remains snappy through optimizing indexes and storage.
What we’re looking for
We want to work with people who have a passion for collaborating with their teams, building software while nurturing inclusive and respectful relationships with their coworkers. With the ones that are open about their shortcomings and what they do not know now, but remain eager to keep on growing and closing those gaps.
Ideally, they would also have:
- Neo4j Expertise (Must Have): 4+ years of hands-on experience. You master Cypher, schema design, and the operational side of managing a production graph.
- ETL & Pipeline Mastery: Strong background in building data pipelines. You know how to take raw data, clean it, and structure it for graph ingestion.
- Streaming & CDC: Familiarity with event streaming platforms like Kafka and Change Data Capture methodologies to sync operational databases with the graph.
- Python Proficiency: Strong Python skills for writing ingestion scripts, maintenance jobs, and custom graph algorithms.
- Data Integrity Focus: Experience implementing automated jobs for entity resolution, deduplication, and quality assurance.
Nice-to-Have:
- C# Knowledge: Ability to read or contribute to C# codebases.
- Domain Experience: Prior work in Finance or Real Estate sectors.
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
- A monthly wellness stipend and snack boxes delivered to your home
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!
Ready to apply?
Apply to Able
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.
What you’ll be doing
We are seeking someone who enjoys working at the cutting edge where Computer Vision meets Logic. You will be responsible for the "eyes" and the "brain" of our system—extracting complex data from visual documents and then orchestrating how that data is used by Large Language Models.
In short, someone who likes:
- Unlocking Visual Data: Building pipelines that can "read" complex documents, understanding layout, charts, and visual context using Vision-Language Models (GPT-4V, Claude 3.5) and Layout Analysis.
- Orchestrating Intelligence: Owning the application logic layer. You will use LangChain or LangGraph to build the agents and chains that query our data, reason about it, and generate responses.
- Native PDF Handling: Handling the messy reality of PDF processing (PyMuPDF, layout parsing) to preserve structure before the AI even sees it.
- Prompt Engineering & Logic: Crafting complex prompts and control flows to ensure models interpret financial charts and layouts accurately without hallucinating.
- Cost & Scale: Applying a cost-optimization mindset (batch processing, model selection) to ensure our vision and orchestration layers are economically viable.
What we’re looking for
We want to work with people who have a passion for collaborating with their teams, building software while nurturing inclusive and respectful relationships with their coworkers. With the ones that are open about their shortcomings and what they do not know now, but remain eager to keep on growing and closing those gaps.
Ideally, they would also have:
- LLM Orchestration (Must Have): Deep experience with LangChain, LangGraph, or similar frameworks. You know how to manage context windows, tool calling, and agentic workflows.
- Multimodal AI Experience: Hands-on experience integrating state-of-the-art vision models (GPT-4V, Claude 3.5 Sonnet) and embedding models (CLIP).
- Document Intelligence Specialist: Familiarity with specialized models (e.g., Donut, Pix2Struct) and tools like Unstructured.io or Docling.
- PDF Processing Mastery: Mastery over tools like PyMuPDF or pdfplumber for native element extraction.
- Python ML Stack: Strong proficiency in PyTorch or TensorFlow.
Nice-to-Have:
- Fine-Tuning: Experience fine-tuning vision or language models, specifically to improve accuracy on domain-specific artifacts like financial charts or tables.
- Domain Knowledge: Prior experience handling documents in the Real Estate or Finance sectors.
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
- A monthly wellness stipend and snack boxes delivered to your home
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!
Ready to apply?
Apply to Able