As part of a Microsoft partner consultancy, you will work on developing and deploying cutting-edge AI solutions powered by Azure OpenAI, Azure AI Foundry, LangChain, LangGraph, and Retrieval ...
As part of a Microsoft partner consultancy, you will work on developing and deploying cutting-edge AI solutions powered by Azure OpenAI, Azure AI Foundry, LangChain, LangGraph, and Retrieval ...
You will work closely with our enterprise clients to architect and implement cutting-edge AI applications powered by Azure OpenAI, Azure AI Foundry, LangChain, LangGraph, Retrieval-Augmented ...
You will work closely with our enterprise clients to architect and implement cutting-edge AI applications powered by Azure OpenAI, Azure AI Foundry, LangChain, LangGraph, Retrieval-Augmented ...
Familiarity with LLM frameworks such as LangChain, LangGraph, LlamaIndex, OpenAI Agents SDK, CrewAI, or similar
Familiarity with LLM frameworks such as LangChain, LangGraph, LlamaIndex, OpenAI Agents SDK, CrewAI, or similar
Familiarity with LLM frameworks such as LangChain, LangGraph, LlamaIndex, OpenAI Agents SDK, CrewAI, or similar
Familiarity with LLM frameworks such as LangChain, LangGraph, LlamaIndex, OpenAI Agents SDK, CrewAI, or similar
Handson multiagent engineering: interagent communication, shared state, tool adapters, orchestration with LangGraph/CrewAI/AutoGen; RAG pipelines; vector DBs (pgvector/Milvus/Pinecone/FAISS)
Handson multiagent engineering: interagent communication, shared state, tool adapters, orchestration with LangGraph/CrewAI/AutoGen; RAG pipelines; vector DBs (pgvector/Milvus/Pinecone/FAISS)
Experience with AI orchestration frameworks such as Semantic Kernel, LangGraph, CrewAI, AutoGen, OpenAI Agents SDK, or similar technologies * Experience deploying and operating MCP-based systems and ...
New
Experience with AI orchestration frameworks such as Semantic Kernel, LangGraph, CrewAI, AutoGen, OpenAI Agents SDK, or similar technologies * Experience deploying and operating MCP-based systems and ...
New
Experience with AI orchestration frameworks such as Semantic Kernel, LangGraph, CrewAI, AutoGen, OpenAI Agents SDK, or similar technologies * Experience deploying and operating MCP-based systems and ...
New
Experience with AI orchestration frameworks such as Semantic Kernel, LangGraph, CrewAI, AutoGen, OpenAI Agents SDK, or similar technologies * Experience deploying and operating MCP-based systems and ...
New
Familiarity with LLMs and modern AI tooling: prompt engineering, fine-tuning, RAG pipelines, orand agent frameworks (LangChain, LangGraph LlamaIndex, CrewAI, or equivalent) * Solid understanding of ...
Quick apply
Familiarity with LLMs and modern AI tooling: prompt engineering, fine-tuning, RAG pipelines, orand agent frameworks (LangChain, LangGraph LlamaIndex, CrewAI, or equivalent) * Solid understanding of ...
Langgraph information
What is the difference between Langgraph vs Data Analyst?
| Aspect | Langgraph | Data Analyst |
|---|---|---|
| Required Credentials | Typically requires knowledge of language processing and graph databases | Usually requires a degree in statistics, mathematics, or related fields |
| Work Environment | Tech companies, AI research labs, data-driven organizations | Business, finance, healthcare, and marketing sectors |
| Industry Usage | Emerging role in AI and NLP projects | Established role in data interpretation and reporting |
While Langgraph focuses on language processing and graph database integration, Data Analysts primarily interpret and visualize data to support business decisions. Both roles require analytical skills, but Langgraph specialists often have a background in AI and NLP, whereas Data Analysts typically hold degrees in statistics or related fields.
What are the key skills and qualifications needed to thrive as a Langgraph engineer, and why are they important?
To thrive as a Langgraph engineer, you need a strong background in software engineering, proficiency in Python, and a solid understanding of AI/ML concepts, usually supported by a degree in computer science or a related field. Familiarity with machine learning frameworks (like TensorFlow or PyTorch), API integrations, and version control systems such as Git is essential. Effective problem-solving, collaboration, and clear communication are crucial soft skills for working with multidisciplinary teams and resolving complex issues. These capabilities are important because they enable the development, scaling, and maintenance of robust AI-driven applications using the Langgraph platform.
What is a Langgraph?
Langgraph is a framework designed to build, manage, and orchestrate complex workflows for large language models (LLMs). It allows developers to create directed graphs of language model prompts, tools, and custom logic, making it easier to design multi-step, stateful AI applications. Langgraph is especially useful for building conversational agents, automated workflows, and other applications that require LLMs to interact with data or tools in a structured way.
What are some common challenges faced by Langgraph developers when integrating their workflow with existing AI infrastructure?
Langgraph developers often encounter challenges when integrating their workflow with existing AI infrastructure, such as ensuring compatibility with various large language models and managing data flow across multiple APIs. Coordination with data engineers and machine learning specialists is crucial to align model outputs with business requirements, and adapting to rapidly evolving technologies can require continuous learning. Additionally, optimizing performance and maintaining security standards during integration are key considerations to ensure successful deployment.
What are popular job titles related to Langgraph jobs in Alberta? For Langgraph jobs in Alberta, the most frequently searched job titles are:
What job categories do people searching Langgraph jobs in Alberta look for? The top searched job categories for Langgraph jobs in Alberta are:
Job description
Key ResponsibilitiesSkills, Knowledge and Expertise
We are looking for a hands-on Generative AI Developer with strong experience in building intelligent applications using the Microsoft Azure AI stack. As part of a Microsoft partner consultancy, you will work on developing and deploying cutting-edge AI solutions powered by Azure OpenAI, Azure AI Foundry, LangChain, LangGraph, and Retrieval-Augmented Generation (RAG).
This role is ideal for a developer who thrives in a fast-paced environment and is passionate about building real-world applications with large language models (LLMs), agent-based workflows, and scalable AI infrastructure.
This role is ideal for a developer who thrives in a fast-paced environment and is passionate about building real-world applications with large language models (LLMs), agent-based workflows, and scalable AI infrastructure.
Develop and deploy Generative AI applications using:
Azure OpenAI Service (GPT models, embeddings, fine-tuning)
Azure AI Foundry for managing LLM lifecycle and deployment
LangChain and LangGraph for orchestrating multi-agent and multi-step workflows
RAG pipelines using Azure AI Search and vector databases
AI agents and MCP servers for task automation and reasoning
Implement prompt engineering strategies and optimize LLM interactions.
Build APIs and microservices to integrate AI capabilities into enterprise applications.
Collaborate with architects and client teams to understand requirements and deliver solutions.
Ensure code quality, performance, and security in cloud-native environments.
Stay up to date with the latest in generative AI frameworks, tools, and best practices.
Bachelor's degree in Computer Science, Engineering, or related field.
3+ years of experience in software development, with a focus on AI/ML applications.
Hands-on experience with Azure OpenAI, LangChain, and LangGraph.
Solid understanding of LLM orchestration, agent frameworks, and RAG architectures.
Proficiency in Python and experience with cloud-native development.
Familiarity with Azure services such as Azure Functions, Azure AI Search, Azure Storage, and containerization (Docker/Kubernetes).
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Opportunity to build impactful generative AI solutions for enterprise clients.
Access to exclusive Microsoft partner resources and training.
A collaborative, innovative, and growth-oriented work environment.
Competitive compensation and benefits.
Career development in a rapidly evolving AI landscape.