---
title: 'AI Engineer at Dry Ground AI'
canonical: 'https://feeny.ai/job/ai-engineer-dry-ground-ai-brazil-2dkp8jn3rqk3'
type: 'job'
last_seen: '2026-09-09'
---

# AI Engineer at Dry Ground AI

- **Company:** Dry Ground AI
- **Location:** Brazil
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-02-28
- **Last confirmed live:** 2026-09-09
- **Apply:** https://jobs.gem.com/dry-ground-ai/am9icG9zdDo0wEJ5V65W82y8FeXibxtE

## Job 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

Required

- 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.

Work Environment & 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.

## 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

- [Quality Engineer – AI, Software, & Automation Solutions](https://feeny.ai/job/quality-engineer-ai-software-automation-solutions-dry-ground-ai-brazil-gw0xjf8hmmy2) — 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
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