AI Engineer
Dry Ground AI
Get more Artificial Intelligence jobs in your inbox
Verified daily — no ghost listings.
About This RoleAI processing…
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
- 1Design, build, and deploy machine learning and generative AI models for custom use cases.
- 2Fine-tune and optimize large language models (e.g., GPT, BERT) using frameworks like Hugging Face Transformers.
- 3Conduct ongoing research to stay ahead of advancements in AI/ML, including LLMs, generative AI, and transformer-based architectures.
- 4Develop data pipelines for preprocessing, feature engineering, and model training.
- 5Test, validate, and monitor model performance in real-world scenarios; iterate for reliability and accuracy.
- 6Collaborate with cross-functional teams to embed AI into products, platforms, and services.
- 7Mentor junior engineers and contribute to technical leadership.
- 8Design, implement, and maintain automation workflows using tools such as:
- 9LangChain, LangGraph, LangSmith, LangFuse n8n, ElevenLabs, and CMS integrations.
- 10Engineer system-to-system integrations using APIs to enable intelligent process automation.
- 11Apply prompt and context engineering techniques to enhance the performance of conversational AI tools.
- 12Implement prompt management and QA processes for agents and assistants.
- 13Explore and deploy Microsoft Copilot Studio, PowerApps, and PowerAutomate solutions (preferred but not required).
- 14Continuously evaluate emerging AI and automation tools and assess their applicability in client use cases.
- 15Collaborate with clients and internal teams to scope, deliver, and maintain agentic and automation solutions aligned with business goals.
Requirements
- 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.
Perks & Benefits
Apply to This Job in Minutes
Generate ATS-optimized resume + cover letter + interview prep with Jobease.ca AI. Complete your application faster.
75% of AI Resumes Get Rejected
Beat the ATS with Jobease.ca's AI Resume Builder. Optimized for real hiring systems.
Build My ResumeProfile Match
Loading…Checking your profile against this job…
Job Overview
Share This Job
Track All Your Applications
Never lose track again. Jobease.ca organizes every application, interview, and follow-up.
Organize My Search