• Help shape the direction of our applied AI areas and intelligence features, driving deployment of state-of-the-art AI models and systems that directly impact Abacus's products and services (Abacus Agents, MCP, SQL and RAG agents and tools, and more). • Develop novel data collection, fine-tuning, and LLM techniques that achieve optimal performance on specific tasks and domains. • Design and implement ML/AI pipelines for data preprocessing, feature engineering, model training, hyperparameter tuning, and evaluation — enabling rapid experimentation, iteration, and self-healing systems. • Build scalable, reusable backend systems to support GenAI products company-wide, with robust logging, telemetry, and evaluation harnesses to ensure reliable performance. • Partner with cross-functional teams — AI engineers, data engineers, and product — to deliver AI solutions that meaningfully improve user productivity and satisfaction. • Drive critical initiatives spanning AI and data engineering innovation, development productivity, and benchmarking. • Mentor and coach software and AI developers, helping them grow their skills and ensuring delivered solutions align with our architecture strategy, coding standards, and organizational policies. • Participate in architectural discussions, influence key technical decisions, and collaborate with peers to keep the organization's engineering approach consistent. • Identify people and process improvements for Agile/Scrum teams, especially where innovation and rapid iteration are critical to AI work. • Balance delivery against roadmap commitments while navigating interruptions and client escalations, with a solid grasp of incident management, configuration management, and operational efficiency. • Communicate architecture, design, and implementation objectives upward, and keep teams aligned with established policies and procedures. • Represent Abacus credibly in customer-facing technical conversations.

Role Description Are you passionate about building AI-powered solutions that automate business processes and accelerate software development? We're looking for a Senior AI Automation Engineer with an AI-First mindset to design and develop innovative solutions that optimize administrative, financial, and operational processes. You'll work closely with Product Owners and business stakeholders to transform business needs into scalable applications, automations, and AI-assisted solutions using modern technologies and cloud services. If you enjoy solving complex problems, building impactful solutions, and leveraging AI to maximize productivity, we'd love to hear from you. - Design and develop Full Stack solutions using Node.js, TypeScript, and React. - Build and maintain scalable REST APIs and system integrations. - Develop cloud-native solutions on AWS. - Implement and maintain CI/CD pipelines using GitHub Actions. - Leverage AI-powered development tools to improve productivity and code quality. - Analyze business processes and identify automation opportunities. - Collaborate with Product Owners and stakeholders on digital transformation initiatives. Qualifications - 4+ years of experience in Full Stack software development. - Strong experience with Node.js, TypeScript, and React. - Experience building REST APIs and working with relational databases. - Hands-on experience with AWS (RDS, Aurora, ECS, Fargate, Lambda, or equivalent serverless services). - Experience with GitHub, GitHub Actions, and CI/CD pipelines. - Advanced use of AI-powered development tools such as Cursor, GitHub Copilot, Claude Code, OpenCode, or similar. - AI-First mindset with experience building AI-assisted software solutions. - Strong problem-solving skills and the ability to work independently. - Proficient English communication skills (conversational B2+). Requirements - Nice to Have: - Experience with SAP or other ERP platforms. - Experience automating financial or business processes. - Knowledge of Spec-Driven Development or OpenSpec. - Experience working on digital transformation initiatives. Benefits - A stable, long-term contract with opportunities for career growth. - Private health insurance. - A remote-friendly culture that promotes work-life balance. - Continuous training, mentorship, and learning programs to keep you at the forefront of the industry. - Free access to AI training resources and state-of-the-art AI tools to elevate your daily work. - A flexible Paid Time Off (PTO) policy as well as paid holiday days. - Challenging, world-class software projects for clients in the US and LatAm. - Collaboration with some of the most talented software engineers in Latin America and the US, in a diverse work environment.

• Design, develop, and maintain scalable software applications using Python and modern web frameworks such as Django, Flask, or FastAPI. • Develop and enhance machine learning models, clustering algorithms, and NLP solutions for automated defect analysis and pattern recognition. • Build AI-powered diagnostic systems that intelligently classify, categorize, and route operational tickets. • Design, optimize, and maintain SQL databases, queries, and data models that support large-scale analytics and real-time processing. • Develop and maintain RESTful APIs supporting AI-powered applications and enterprise integrations. • Improve clustering logic to reduce manual intervention in defect categorization and operational workflows. • Collaborate with Product Management, QA, Engineering, and Operations teams to translate business requirements into scalable technical solutions. • Research, evaluate, and implement emerging AI, machine learning, and software engineering technologies that improve product capabilities. • Participate in Agile ceremonies including sprint planning, code reviews, retrospectives, and technical design discussions. • Continuously improve application performance, scalability, maintainability, and software quality. • Document technical designs, AI models, engineering standards, and development best practices.

• Embed pre-trained foundational models (OpenAI, Anthropic, open-source models) into web and enterprise applications using APIs and microservices. • Design and maintain Retrieval-Augmented Generation (RAG) systems, semantic search layers, and vector data workflows. • Construct multi-step AI orchestration chains, agentic workflows, and automated self-repairing coding harnesses. • Build automated evaluation frameworks to quantify AI accuracy, minimize model hallucination, and run error metrics. • Write production-ready backend code, design robust RESTful APIs, and manage data layers. • Implement system safety rules, data privacy guardrails, and prompt tracking to protect user data and shield against vulnerabilities.