AI Engineer

Dry Ground AI·Remote(Brazil, Colombia, Philippines)·$40- $60k
Software Development

WFA Digital Insight

Demand for AI specialists has skyrocketed, with a 25% increase in job postings in the last year alone. As remote work continues to reshape the job market, companies like Dry Ground AI are at the forefront of innovation. With a strong focus on digital skills and a competitive salary range of $40-$60k, this role stands out in the current market. Candidates should be prepared to showcase their expertise in AI/ML development, automation, and system integration, as well as their ability to work collaboratively in a remote environment. Before applying, it's essential to understand the company's commitment to innovation and growth, and to be ready to discuss how their skills align with Dry Ground AI's mission.

Job Description

About the Role

As an AI Engineer at Dry Ground AI, you will play a crucial role in designing, developing, and deploying cutting-edge AI solutions that drive business results. You will work closely with cross-functional teams to embed AI into products, platforms, and services, and collaborate with clients to scope, deliver, and maintain agentic and automation solutions. The role requires a strong foundation in machine learning, automation, and system integration, as well as excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.

The AI Engineer role is a key part of Dry Ground AI's strategy to deliver innovative AI-powered solutions to clients. You will have the opportunity to work on a wide range of projects, from fine-tuning transformer models to building real-world AI-powered automation stacks. The company's commitment to innovation and growth provides a dynamic and supportive work environment, with opportunities for professional development and collaboration with talented professionals.

What You Will Do

  • Design, build, and deploy machine learning and generative AI models for custom use cases
  • Fine-tune and optimize large language models 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
  • Design, implement, and maintain automation workflows using tools like LangChain, LangGraph, and n8n
  • 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

What We Are Looking For

  • 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
  • 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
  • Bachelor's degree in Computer Science, AI, or a related field

Nice to Have

  • 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 and Perks

  • 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
  • Access to cutting-edge tools and technologies
  • Professional development opportunities, including training and conference sponsorships
  • Health and wellness programs, including mental health support

How to Stand Out

  • When applying, make sure to highlight your experience with machine learning frameworks like TensorFlow and PyTorch, as well as your proficiency in Python.
  • Showcase your ability to communicate complex technical concepts to non-technical stakeholders, and provide examples of successful collaborations with cross-functional teams.
  • Be prepared to discuss your experience with automation platforms and AI agent builders, and provide examples of how you've applied prompt and context engineering techniques.
  • Demonstrate your understanding of cloud-based AI/ML platforms and your experience with REST APIs.
  • Be prepared to provide examples of your work, including models you've deployed and automation workflows you've designed.
  • Research the company's commitment to innovation and growth, and be ready to discuss how your skills align with their mission.
  • Be prepared to negotiate your salary, and have a clear understanding of your worth in the market.

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