Agentic AI Engineer
Position: Agentic AI Engineer
Experience Required: 7+ Years
Employment Type: Contract
Location: Remote – Canada
About the Role
We are seeking an experienced Agentic AI Engineer to design, build, and deploy next-generation AI systems powered by autonomous AI agents, Large Language Models (LLMs), and intelligent workflow automation.
The ideal candidate will have deep expertise in building AI agents capable of reasoning, planning, executing tasks, interacting with external tools, and continuously improving business processes. You will work on creating enterprise-grade agentic AI solutions that move beyond traditional chatbots into autonomous systems that deliver measurable business outcomes.
This role requires a strong combination of AI engineering, software development, system architecture, and applied problem-solving skills. The successful candidate will design intelligent agent workflows, integrate AI models with enterprise systems, and build scalable AI applications for real-world use cases.
Key Responsibilities
Agentic AI System Development
- Design, develop, and deploy autonomous AI agents capable of reasoning, planning, decision-making, and task execution.
- Build multi-agent systems where AI agents collaborate to complete complex workflows.
- Develop intelligent workflows using LLM-based reasoning, tool calling, memory management, and orchestration frameworks.
- Create AI agents that interact with APIs, databases, enterprise applications, and external tools.
- Develop reusable agent architectures and frameworks for enterprise AI adoption.
Generative AI & LLM Engineering
- Build advanced applications using Large Language Models (LLMs) from providers such as OpenAI, Anthropic, Azure OpenAI, Google Gemini, or equivalent platforms.
- Design prompt engineering strategies, system instructions, and agent behaviors.
- Implement Retrieval-Augmented Generation (RAG) pipelines for enterprise knowledge retrieval.
- Optimize AI agent performance through evaluation, testing, and continuous improvement.
- Experiment with emerging AI models and agentic AI technologies.
AI Architecture & Integration
- Design scalable AI architectures for enterprise-grade agent applications.
- Integrate AI agents with business systems, APIs, databases, and cloud platforms.
- Build backend services and APIs supporting AI-driven applications.
- Implement memory systems, context management, and knowledge retrieval mechanisms.
- Develop secure and reliable AI workflows suitable for production environments.
Production Deployment & Optimization
- Take AI solutions from prototype stage to production deployment.
- Build monitoring, evaluation, and feedback systems for AI agents.
- Improve agent accuracy, reliability, latency, and cost efficiency.
- Collaborate with software engineers, data engineers, product managers, and business teams.
- Ensure AI solutions meet requirements for security, scalability, and responsible AI practices.
Required Qualifications
- 7+ years of experience in software engineering, AI engineering, machine learning engineering, or related technical roles.
- Proven experience building and deploying Generative AI applications.
- Strong hands-on experience designing and implementing AI agent systems.
- Advanced programming skills in Python with strong software engineering practices.
- Strong understanding of Large Language Models (LLMs), AI reasoning, and autonomous workflows.
- Experience building applications using:
- OpenAI APIs
- Anthropic APIs
- Azure OpenAI
- Google Gemini or similar LLM platforms
- Experience with AI agent frameworks such as:
- LangGraph
- LangChain Agents
- AutoGen
- CrewAI
- Semantic Kernel
- LlamaIndex Agents
- Strong understanding of:
- Prompt engineering
- Function calling / tool use
- AI orchestration
- Agent memory
- Context management
- RAG architectures
- Vector search
Technical Skills
Programming & Engineering
- Python
- SQL
- REST APIs
- Microservices Architecture
- Backend Development
- System Design
- Software Engineering Best Practices
AI & Machine Learning
- Generative AI
- Large Language Models (LLMs)
- Agentic AI Systems
- AI Agents
- Multi-Agent Architectures
- Retrieval-Augmented Generation (RAG)
- NLP
- Model Evaluation
- Prompt Engineering
AI Frameworks & Tools
- LangChain / LangGraph
- LlamaIndex
- AutoGen
- CrewAI
- Semantic Kernel
- OpenAI API
- Anthropic API
- Vector Databases:
- Pinecone
- Weaviate
- FAISS
- ChromaDB
Cloud & DevOps
- AWS / Azure / Google Cloud
- Docker
- Kubernetes
- CI/CD Pipelines
- MLOps
- AI Model Deployment
Preferred Qualifications
- Experience building autonomous AI agents for enterprise applications.
- Experience designing AI copilots, workflow automation systems, or intelligent assistants.
- Experience with multi-agent collaboration frameworks.
- Experience integrating AI agents with enterprise platforms such as CRM, ERP, HR, Finance, or Knowledge Management systems.
- Experience with AI evaluation frameworks and observability tools.
- Experience with AI security, governance, and responsible AI practices.
- Experience working in AI-first startups or enterprise AI transformation initiatives.
Ideal Candidate Profile
You are someone who:
- Is passionate about building the next generation of intelligent AI systems.
- Enjoys solving complex problems with emerging AI technologies.
- Can transform AI concepts into working enterprise solutions.
- Understands both AI capabilities and real-world business constraints.
- Thrives in fast-moving environments where experimentation and innovation are encouraged.
- Takes ownership from architecture design through production deployment.
Contract Details
Employment Type: Contract
Location: Remote – Canada
Experience Level: Senior / Staff Level
Engagement: Long-term AI engineering and enterprise automation initiatives
Role Focus: Building autonomous AI systems, intelligent agents, and next-generation AI-powered business solutions.
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