• Develop go-to-market and co-selling strategies with AI Native partners that outline activities and expectations to drive NVIDIA’s full stack offerings. • Act as an extension of the AI Native’s sales team to identify key accounts with NVIDIA for joint selling engagement so we can collectively drive a repeatable model. • Works cross functionally with key NVIDIA Industry sales teams and NVIDIA partner ecosystem to handle pipeline and promote/educate on influence revenue generated from joint customer wins. • Collaborates with our Global Account Managers and Product organization to help set the GTM priorities with our AI Native ISVs, so we have mutual success in the development of our joint solution offerings in the market. • Secure sponsorship from target ISVs to implement a sales GTM partnership plan of record. • Define business goals, track and report progress and work on joint GTM plans. • Devises sales enablement plans and to help the account executives, overlay solution specialists and Solution architects improve their abilities on NVIDIA GPU accelerated computing and AI software. • Acts as the global liaison between regional ISV teams and the product groups at NVIDIA and the partner.

Role Description As an Agentic AI Software Engineer you will: - Design, build, and ship agentic AI features end to end, from detection and decision logic through safe action execution, in a cross-functional agile environment. - Ground agent behavior in deterministic rules engines and governed data so every agent explains its reasoning and never acts outside permitted boundaries. - Build and operate the LLM layer, including prompt architecture, structured outputs, confidence scoring, timeouts, and rules-only fallback paths. - Implement safe patterns for agent actions, including idempotent operations, undo windows, retries with backoff, and immutable audit logging. - Develop statistical detection and baseline logic that turns workforce data into ranked, explainable findings with business impact attached. - Manage inference cost, latency, and model selection from development through production. - Partner with QA on evaluation suites, shadow-mode rollouts, and the trust metrics that gate every agent capability, and mentor junior engineers along the way. - Operate independently, setting priorities and goals while continuing to learn and grow technically. Qualifications - 6+ years of professional software development experience, including shipping LLM-backed or agentic features to production. - Deep production experience with C#/.NET, SQL Server, and API design in systems where correctness has financial consequences, such as payroll, billing, or banking. - Experience integrating LLM APIs into enterprise applications, with structured outputs, retrieval grounding, and evaluation-driven iteration. - Working fluency with statistical techniques on time-series data, such as rolling baselines, outlier detection, and threshold tuning. - The ability to understand requirements and solve technical issues without supervision, serving as a technical lead. Requirements - Hands-on daily use of AI coding assistants or agentic tools, such as Claude Code, GitHub Copilot, or Cursor. - Production experience with LLM APIs, MCP servers, or internal AI tooling. - An understanding of human-in-the-loop agent design and write-capable AI. - A clear understanding of LLM failure modes, including hallucination, prompt injection, and cost overrun, plus the limits and risks of AI-generated code. - Preferred: experience with multi-agent orchestration, evaluation harness design, or statistical anomaly detection. Benefits - Competitive salary - 20 Days of PTO (Paid Time Off) and 13 days of companywide holidays - 8 hours to volunteer and impact the community - Comprehensive benefits (Health/Dental/Vision/401K) - Employee Choice Pre-Tax Benefit

• 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.