Dry Ground AI

Role Description We are seeking a versatile and highly skilled AI Engineer to join our fast-growing Full-Stack AI Solutions company. This role blends the expertise of building cutting-edge AI/ML models with the practical know-how of automation and agentic system integrations. You will design, develop, deploy, and optimize intelligent solutions that leverage the power of generative AI, automation platforms, and agent-based systems to enhance client operations, streamline workflows, and deliver measurable results. This is a unique opportunity to work across a diverse range of technologies—from fine-tuning transformer models to building real-world AI-powered automation stacks. If you’re passionate about pushing the boundaries of AI while creating real value through systems thinking and practical implementation, this role is for you. Key Responsibilities - AI/ML Development: - Design, build, and deploy machine learning and generative AI models for custom use cases. - Fine-tune and optimize large language models (e.g., GPT, BERT) using frameworks like Hugging Face Transformers. - Conduct ongoing research to stay ahead of advancements in AI/ML, including LLMs, generative AI, and transformer-based architectures. - Develop data pipelines for preprocessing, feature engineering, and model training. - Test, validate, and monitor model performance in real-world scenarios; iterate for reliability and accuracy. - Collaborate with cross-functional teams to embed AI into products, platforms, and services. - Mentor junior engineers and contribute to technical leadership. - Automation & Agentic Systems: - Design, implement, and maintain automation workflows using tools such as LangChain, LangGraph, LangSmith, LangFuse, n8n, ElevenLabs, and CMS integrations. - Engineer system-to-system integrations using APIs to enable intelligent process automation. - Apply prompt and context engineering techniques to enhance the performance of conversational AI tools. - Implement prompt management and QA processes for agents and assistants. - Explore and deploy Microsoft Copilot Studio, PowerApps, and PowerAutomate solutions (preferred but not required). - Continuously evaluate emerging AI and automation tools and assess their applicability in client use cases. - Collaborate with clients and internal teams to scope, deliver, and maintain agentic and automation solutions aligned with business goals. Qualifications - 2+ years of hands-on experience in AI/ML development, including training and deploying models in production. - Strong programming skills in Python, with proficiency in frameworks such as TensorFlow, PyTorch, Scikit-learn, and Hugging Face Transformers. - Experience working with AI tools like Langchain, OpenAI, or Stable Diffusion. - Practical experience with automation platforms and AI agent builders (as listed above). - Deep understanding of machine learning algorithms, neural networks, and NLP concepts. - Proficiency in using REST APIs for tool and platform integrations. - Familiarity with cloud-based AI/ML platforms. - Strong analytical skills and the ability to translate business problems into technical AI/automation solutions. Preferred - Experience working with Agentic AI frameworks, voice automation, and prompt tuning systems. - Exposure to MLOps best practices, including model versioning, CI/CD, and monitoring. - Knowledge of reinforcement learning, GANs, or edge AI deployments. - Familiarity with distributed computing frameworks such as Spark or Ray. - Background in AI agency workflows and client-facing solution delivery. Benefits - Competitive salary and performance-based incentives. - Flexible work environment: Remote-first. - Collaborative, innovation-driven culture with a commitment to personal and professional growth. - Opportunity to work at the forefront of AI innovation across industries and verticals.

Role Description 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, including: - Front-end applications - Agentic AI systems - Workflow automations - Backend services - Integrations - Voice interfaces - Data pipelines This is not a traditional QA position. The expectation is that this person will build, improve, and automate the entire quality function, using AI-enhanced development tools, creating automated test harnesses, designing diagnostic utilities, and implementing 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. Qualifications - 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. Requirements - 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. - 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. - 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. - 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. - 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. 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.

Role Description As Engagement Manager, you will own the post-sale customer journey: orchestrating handoffs from Sales to Engineering, driving on-time delivery, and continually identifying new ways to create value. You are part project conductor, part trusted advisor, and part growth catalyst. Core Responsibilities - Project Leadership: - Lead multiple AI implementation projects from kickoff through launch and optimization. - Create and maintain project plans, timelines, and risk logs. - Hold engineering and data teams accountable for sprint deliverables, escalate blockers, and manage tradeoffs between scope and schedule. - Customer Success and Relationship Management: - Act as the main point of contact for a portfolio of AI Velocity and maintenance clients. - Conduct regular check-ins, business reviews, and planning sessions. - Communicate updates clearly and translate technical milestones into business impact. - Opportunity Expansion: - Analyze client workflows and data to uncover new AI opportunities. - Frame and scope these opportunities as projects to add to the Velocity backlog. - Collaborate with Sales to support renewals and upsells. - Process Improvement: - Improve our delivery playbook, templates, and dashboards. - Promote best practices in documentation, change management, and knowledge transfer. Qualifications - Fluent English speaking and writing skills. You will run executive meetings and prepare client-facing materials. - 5 or more years managing complex software or data/AI projects. - Strong experience in customer-facing roles such as Customer Success, Consulting, or Solutions Delivery. - Comfortable engaging with technical teams about APIs, data pipelines, and ML concepts. You do not need to code, but must bridge the gap between business and technical language. - Proficient with tools like Notion, Jira, and Asana. - Analytical thinker who can read KPIs, prioritize work, and quantify ROI. - Employment verification, education verification, and an international background check will be required. - Must be authorized to work in your local jurisdiction. Preferred Qualifications - Familiarity with GenAI, LLM tools, or MLOps platforms. - Understanding of B2B SaaS commercial models. - Certifications like Lean Six Sigma, PMP, PMI-ACP, or CSM are a plus. Benefits - High-impact role on a fast-moving team building innovative AI solutions. - Work from anywhere. We are a fully remote company with clients based in the U.S. - Competitive time off and flexible work environment. - Performance-based bonus opportunities. - Training and development support.

Role Description This is a commission-based role with unlimited earning potential. Top performers can expect significant payouts per deal closed. Our team is here to support your success with training, lead gen, and product expertise. As an AI Solutions Sales Representative, you’ll play a vital role in connecting businesses with powerful AI solutions that drive growth and real results. You’ll identify and engage new business opportunities, consult with decision-makers, and guide clients through their AI adoption journey. You’ll enjoy high autonomy, flexible hours, and the chance to earn significant commissions for helping organizations succeed. What You’ll Do: - Prospect, qualify, and close new business for our suite of AI-driven solutions: delivering full-stack AI, automation, and end-to-end implementation throughout our clients’ businesses - Consult with business owners and executives to understand needs and recommend tailored solutions - Manage the full sales cycle from outreach to close, with marketing and technical support from our team - Collaborate with leadership to refine messaging and capture new verticals - Build long-term client relationships and identify upsell opportunities Qualifications - Proven experience in B2B sales (SaaS, consulting, tech, or agency background preferred) - Consultative, entrepreneurial, and excited to learn new technology - Excellent communication and relationship-building skills - Self-motivated, goal-driven, and comfortable with a commission-based structure - Strong organizational skills and ability to manage your own pipeline Benefits - Uncapped commission structure with industry-leading payout percentages - Flexible/remote/fractional opportunity: build your pipeline on your schedule - Support from a responsive leadership and technical team - Access to compelling case studies, marketing materials, and product training - The chance to get in early with a fast-growing AI solutions company - Opportunity to have leads directed to you through our lead generation engine Company Description Dry Ground AI is helping companies transform their businesses with practical, next-generation artificial intelligence solutions. We work with mid-market business owners and executives to radically improve efficiency, automate processes, and create innovative customer experiences. Demand for real AI solutions is exploding, and we’re building a top-tier team to serve clients across industries.