Senior Generative AI Developer (ID#5517)

New Value Solutions; Richmond; On-site; CAD 90,000 - 130,000; Full time

Job summary

New Value Solutions in Canada is seeking a Software Developer specializing in Generative and Agentic AI to embed LLMs into enterprise products and workflows. You will lead design and development of reusable AI patterns, integrate OpenAI/Azure OpenAI, and build scalable AI capabilities across business domains.

You will work with AI architectures, RAG/GraphRAG, vector stores, and Azure technologies, collaborating with cross-functional teams to deliver production-ready AI solutions and ensure

Qualifications

• 3+ years of professional software development experience, including experience integrating AI capabilities into software
• Strong hands-on experience with C# and .NET Core
• Experience with Python and AI/ML development frameworks and libraries
• Experience with OpenAI and/or Azure OpenAI
• Experience with LangChain, Hugging Face, Semantic Kernel, AutoGen, or similar AI frameworks
• Experience with agent orchestration frameworks and agent-based design concepts
• Understanding of RAG/GraphRAG, embeddings, and vector search
• Experience deploying and supporting applications within Microsoft Azure
• Knowledge of Azure AI services and API design
• Experience with Azure DevOps, CI/CD, and Agile software development
• Ability to communicate AI value to technical and non-technical audiences

Responsibilities

• Act as the technical lead and primary developer for reusable AI platform capabilities and patterns
• Design, develop, and maintain production-grade AI applications using OpenAI/Azure OpenAI and open-source LLMs
• Integrate LLM capabilities into enterprise applications, workflows, APIs and digital products
• Design reusable AI patterns, components, and reference architectures across business domains
• Explore and implement advanced AI architectures including agent-based and multi-agent systems
• Work with orchestration frameworks and tools (AutoGen, Semantic Kernel, LangChain)
• Design and implement RAG/GraphRAG solutions using embeddings and vector databases
• Collaborate with cross-functional teams to prototype, deliver and operationalize AI solutions
• Develop APIs and services to integrate AI functionality into enterprise systems
• Deploy, monitor, and support AI solutions in Azure environments
• Develop evaluation frameworks to assess AI accuracy and business value
• Establish governance and operational controls for responsible AI usage
• Capture and maintain clear technical documentation on models, prompts, workflows, and architecture
• Participate in Agile ceremonies, design reviews, and CI/CD practices
• Stay current with research and best practices in generative and agentic AI
• Support knowledge sharing and capability development across the team

Skills

C# & .NET

Python

OpenAI/Azure OpenAI

LangChain

Semantic Kernel

AutoGen

Agent orchestration

RAG/GraphRAG

Embeddings

Vector stores

Azure DevOps/Git/CI/CD

Education

Bachelor’s degree in Computer Science or related STEM

Tools

Cosmos DB

pgvector

Qdrant

Git

Job description

New Value Solutions, a national IT consulting company, is seeking a Software Developer - Generative & Agentic AI to support the development, integration, and operationalization of AI-powered applications and reusable AI capabilities. This is a hands-on development role within an Innovation Team, focused on integrating large language models (LLMs) into enterprise products and workflows and building intelligent, agentic systems that support business users in reviewing information, analyzing complex data, and making decisions.

The successful candidate will act as a technical lead and primary developer in establishing reusable AI solution patterns, frameworks, and platform capabilities. The role will involve working with OpenAI, Azure OpenAI, open-source LLMs, RAG and GraphRAG architectures, agent orchestration frameworks, and Azure technologies to develop production-ready AI solutions that can be scaled and reused across multiple business areas. As agentic AI is an emerging field, candidates with a strong combination of software development, LLM integration, AI architecture, curiosity, and applicable technical experience are encouraged to apply.

Responsibilities:

• Act as the technical lead and primary developer for establishing reusable AI platform capabilities, frameworks, and solution patterns.
• Design, develop, maintain, and enhance production-grade AI applications using OpenAI, Azure OpenAI, and open-source large language models.
• Integrate LLM capabilities into enterprise applications, workflows, APIs, and digital products.
• Design and implement reusable AI and agentic solution patterns, components, frameworks, and reference architectures that can be leveraged across multiple business domains.
• Explore, design, and implement advanced AI architectures, including agent-based and multi-agent systems.
• Work with orchestration frameworks and technologies such as AutoGen, Semantic Kernel, LangChain, or similar tools.
• Design and implement RAG and GraphRAG solutions using embeddings and vector databases.
• Collaborate with business, product, data, architecture, and development teams to prototype, deliver, and operationalize AI-powered solutions.
• Develop APIs and supporting services required to integrate AI functionality into enterprise systems.
• Deploy, maintain, monitor, and support AI solutions within Microsoft Azure environments.
• Develop evaluation frameworks and methodologies to assess AI solution accuracy, effectiveness, reliability, performance, and business value.
• Establish monitoring, governance, and operational controls supporting the responsible and reliable use of AI solutions.
• Identify opportunities to apply proven AI capabilities, reusable patterns, and components to additional business processes and portfolios.
• Contribute to AI architecture standards, technical direction, development practices, and governance.
• Maintain clear technical documentation covering models, prompts, workflows, architectures, reusable patterns, and key design decisions.
• Participate in Agile ceremonies, technical design discussions, code reviews, testing, CI/CD, and DevOps practices.
• Stay current with emerging research, technologies, frameworks, and best practices in generative AI and agentic AI.
• Support knowledge sharing and technical capability development across the broader development community.

Requirements:

• 3+ years of professional software development experience, including recent experience integrating large language models or AI capabilities into software applications.
• Strong hands-on experience with C# and .NET Core, including object-oriented design and software development principles.
• Experience with Python and AI/ML development frameworks and libraries.
• Experience with OpenAI and/or Azure OpenAI.
• Experience with LangChain, Hugging Face, Semantic Kernel, AutoGen, or similar AI frameworks.
• Experience with agent orchestration frameworks and agent-based design concepts.
• Understanding of agent-based design concepts, agentic AI architectures, and multi-agent system patterns.
• Experience or strong familiarity with Retrieval-Augmented Generation (RAG), GraphRAG, embeddings, and vector search.
• Experience with vector databases or vector-enabled data platforms such as Cosmos DB, pgvector, Qdrant, or similar technologies.
• Experience deploying and supporting applications within Microsoft Azure.
• Knowledge and experience with Azure AI services.
• Experience designing and building APIs and enterprise system integrations.
• Experience with Azure DevOps, Git, CI/CD pipelines, automated deployment practices, and Agile software development.
• Understanding of production-grade application development, including testing, monitoring, maintainability, scalability, security, and operational support.
• Ability to evaluate and communicate the effectiveness, reliability, limitations, and business value of AI solutions.
• Strong analytical and problem-solving skills, with the ability to synthesize complex technical concepts and communicate AI capabilities clearly to both technical and non-technical audiences.
• Strong written and verbal communication skills.
• Demonstrated curiosity, adaptability, and willingness to learn and grow within the rapidly evolving generative and agentic AI landscape.
• Ability to work effectively in a collaborative, cross-functional environment.
• Bachelor’s degree in Computer Science or a related STEM (Science, Technology, Engineering, or Mathematics) discipline.

Canada