[Hiring] AI Engineer @Dry Ground AI

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.

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.

   

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.

   

• 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.