--- title: 'Quality Engineer – AI, Software, & Automation Solutions at Dry Ground AI' canonical: 'https://feeny.ai/job/quality-engineer-ai-software-automation-solutions-dry-ground-ai-brazil-gw0xjf8hmmy2' type: 'job' last_seen: '2026-09-09' --- # Quality Engineer – AI, Software, & Automation Solutions at Dry Ground AI - **Company:** Dry Ground AI - **Location:** Brazil - **Employment:** full-time - **Work type:** remote - **Posted:** 2026-04-07 - **Last confirmed live:** 2026-09-09 - **Apply:** https://jobs.gem.com/dry-ground-ai/am9icG9zdDqjg3xdUA2gZ2i7H5CRFK94 ## Job description Position Overview Dry Ground AI is seeking a Quality Engineer – AI, Software, & Automation Solutions to serve as the technical owner of product quality across all AI, automation, and software solutions delivered to clients. This role requires a deeply technical professional who can understand, test, and validate every component of our architecture. This includes front-end applications, agentic AI systems, workflow automations, backend services, integrations, voice interfaces, and data pipelines. This is not a traditional QA position. The expectation is that this person will build, improve, and automate the entire quality function. They will use AI-enhanced development tools, create automated test harnesses, design diagnostic utilities, and implement intelligent systems that help Dry Ground AI scale internally using the same technologies we deploy for clients. The ideal candidate is a builder with strong engineering instincts, a systems thinker who can test complex multi-layer AI behavior, and a professional who can collaborate across engineering and engagement teams to ensure that deliverables meet the highest standard before being presented to clients. ## Key Responsibilities Full Stack Quality Engineering - Develop QMS (Quality Management Systems) framework for internal and external solutions. - Develop comprehensive test plans across front-end, backend, automation, and AI layers. - Validate application logic, agent workflows, API integrations, prompt quality, and error handling. - Test AI agent behavior for reliability, consistency, safety guardrails, and edge case scenarios. - Build automated test suites where appropriate using modern frameworks and AI tools. - Evaluate human-in-the-loop workflows, reasoning path visibility, and agent state transitions. Technical Ownership of QA Systems - Create internal automation tools that support quality checks, regression testing, and consistency validation. - Build utilities that monitor AI output correctness and detect drift or prompt failure patterns. - Implement automated validation for large-scale workflows such as n8n, custom automations, and model-driven tasks. - Design intelligent alerting systems that surface issues early in the development cycle. AI and Automation Proficiency - Use AI coding platforms to improve velocity and maintain high quality in test development. - Build LLM-assisted testing scripts and automated evaluation harnesses for generative AI features. - Work with engineering to integrate AI into QA processes such as automated prompt scoring and conversational flow validation. - Contribute to the refinement of prompts, agent instructions, and reasoning frameworks from an accuracy and reliability perspective. Cross-Functional Collaboration - Partner with engineering to define acceptance criteria and ensure all work is testable and observable. - Coordinate closely with the engagement manager to ensure project readiness and identify risks before client delivery. - Communicate test findings clearly with actionable remediation guidance. - Serve as the final technical quality gate on all deliverables. Process Development and Continuous Improvement - Establish Dry Ground AI’s QA standards and continuously improve them as we scale. - Create reusable testing templates and systems for use across all client projects. - Analyze recurring issues and lead efforts to resolve root causes. - Drive a culture of technical excellence and reliability throughout the engineering team. ## Qualifications Required - 5 or more years in a highly technical QA, SDET, or full-stack engineering role. - Strong engineering fundamentals across JavaScript, TypeScript, Python, React, and API driven applications. - Experience testing AI-enabled products, conversational interfaces, or complex automation workflows. - Ability to build automated testing systems using tools such as Playwright, Cypress, or custom frameworks. - Experience with AI-enhanced development tools such as Claude Code & Github. - Strong understanding of prompt behavior, LLM variability, and common failure patterns. - Comfort working across the entire stack, including cloud services, APIs, vector databases, and real-time systems. - Excellent communication skills for coordinating across engineering and client-facing teams. ## Preferred - Experience with agentic AI frameworks, voice AI systems, or workflow automation tools such as n8n. - Experience implementing testing strategies for RAG systems, embedding workflows, and vector search pipelines. - Familiarity with CI pipelines that run automated quality checks and AI-based evaluation tests. - Experience in consulting environments with direct ownership of client-facing deliverables. Work Environment and Benefits - Competitive compensation and performance incentives. - Remote-first work environment. - Opportunity to influence the architecture, reliability, and technical quality of AI systems across multiple industries. - A culture that prioritizes innovation, high standards, and the use of AI to scale operations. ## About Dry Ground AI ## Company Overview - **One-liner**: Dry Ground AI builds AI-native companies by designing, deploying, and managing scalable business systems powered by advanced automation, machine learning, and Lean Six Sigma discipline. - **Entity Type**: Private (Seed/Early stage – no funding rounds publicly disclosed) - **Headquarters**: Prosper, Texas, United States - **Founded**: 2024 - **Founders**: Keith Ross (Founder & CEO) ## Core Business - **Primary industry**: Full‑Stack AI Solutions & Consulting (Technology, Information & Internet) - **Target customers**: Mid‑market businesses, growth‑stage firms, and enterprises seeking to become AI‑native; B2B - **Mission/purpose**: “We build AI that runs businesses. Not demos, not prototypes. Production systems that handle real operations across real companies every day.” ## Products & Services - **AI Consulting**: Strategic guidance, opportunity assessment, and implementation roadmap grounded in Lean Six Sigma. - **AI Velocity Plan**: Tiered 90‑day outcome cycles (Pulse, Flow, Surge) that embed AI department by department, measured against real business metrics. - **Adaptive AI Management**: Post‑deployment monitoring, optimization, and continuous improvement of AI systems. - **Custom AI Solutions**: Voice agents, multi‑agent systems, custom models, and application development (chatbots to full agentic workflows). - **Companylaw** (Agentic Product): A private, autonomous AI operator for executives that runs calendars, triages inbox, generates briefings, and manages workflows. - **Nexa** (Platform): The AI consultant’s platform for designing, architecting, and delivering AI solutions with top‑tier precision. - **Dry Ground Stack** (Infrastructure): Three‑layer AI factory (CORTEX, SENTINEL, CONVERGE) that powers all deployments on sovereign, client‑controlled infrastructure. ## Market Standing - **Valuation / Market Cap**: Not publicly disclosed - **Key Metric**: 4 employees; 600% year‑over‑year headcount growth; 1,625 LinkedIn followers (+22.7% monthly, +3150% yearly) - **Notable Investors / Partners**: Not disclosed (privately held; no public funding rounds found) - **Growth Signals**: Rapidly expanding team (from <1 to 4 in a year), strong LinkedIn follower growth, launch of multiple product lines (Companylaw, Nexa, Stack), and active hiring for AI Engineer roles. ## Competitive Advantages - **Lean Six Sigma + AI**: Optimizes processes *before* applying AI, ensuring systems work at scale (top 5% of AI adopters see 5x revenue increases and 3x cost reductions). - **Full‑Stack AI‑Nativity**: From consulting to custom products to managed infrastructure, all under one roof. - **Sovereign AI Infrastructure**: No shared endpoints; clients control their data and models. - **Small, high‑ownership team**: “No layer between you and the work” – ideal for those who want immediate impact. ## Strategic Focus - **Scale the AI Velocity Plan** as the flagship engagement model. - **Expand product suite** (Companylaw, Nexa, Dry Ground Stack) to serve more mid‑market and enterprise clients. - **Continue hiring** across engineering, marketing, and delivery roles to support growth. ## Why Work Here - **Culture**: People who ship – “Everyone builds, sells, or delivers.” Emphasis on ownership, solving real client problems, and practical impact over credentials. - **Remote‑first**: Flexible work environment (remote‑first policy per job listings). - **Growth opportunity**: Work at the forefront of AI innovation across industries; mentor junior engineers and contribute to technical leadership. - **Benefits**: Competitive salary, performance‑based incentives, collaborative culture, and commitment to professional growth. - **Team size**: Very small (4 people) – direct exposure to founders and all aspects of the business. ## Sources 1. [dryground.ai](https://dryground.ai/) 2. [dryground.ai/careers](https://dryground.ai/careers) 3. [linkedin.com/company/dry-ground-ai](https://linkedin.com/company/dry-ground-ai) 4. [builtin.com/company/dry-ground-ai](https://builtin.com/company/dry-ground-ai) 5. [builtin.com/job/ai-engineer/9678665](https://builtin.com/job/ai-engineer/9678665) ## Other roles at Dry Ground AI - [AI Engineer](https://feeny.ai/job/ai-engineer-dry-ground-ai-brazil-2dkp8jn3rqk3) — Brazil - [AI Engagement Manager](https://feeny.ai/job/ai-engagement-manager-dry-ground-ai-brazil-amwsmss40938) — Brazil - [AI Solutions Sales Representative](https://feeny.ai/job/ai-solutions-sales-representative-dry-ground-ai-united-states-dy0dz7aj8qhq) — United States