The Role
Design, develop, fine-tune, deploy, and monitor generative AI and ML models; build data pipelines and integrations; implement automation and agentic systems using tools like LangChain and REST APIs; evaluate emerging AI tools; collaborate with cross-functional teams and mentor junior engineers.
Summary Generated by Built In
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.
Skills Required
- 2+ years hands-on experience in AI/ML development, including training and deploying models in production
- Strong programming skills in Python
- Proficiency with TensorFlow, PyTorch, Scikit-learn, and Hugging Face Transformers
- Experience working with AI tools such as LangChain, OpenAI, or Stable Diffusion
- Practical experience with automation platforms and AI agent builders (LangChain, LangGraph, LangSmith, LangFuse, n8n, ElevenLabs, CMS integrations)
- 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 ability to translate business problems into technical AI/automation solutions
- Experience 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
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The Company
What We Do
Dry Ground AI is an AI-native firm that helps businesses transform by building scalable, optimized business systems powered by advanced automation and machine learning. They design and deploy practical AI solutions, including custom software applications, AI agents, and automation workflows, to replace operational complexity with clarity. Their mission is to help clients dominate their industries by multiplying human potential through the strategic application of AI.
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