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Senior & Intermediate Software Developer GEN AI and integrating language models; LLMs into products

Job in Vancouver, BC, Canada
Listing for: S.i. Systems
Part Time, Contract position
Listed on 2026-06-20
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Data Scientist
Job Description & How to Apply Below
Position: Senior & Intermediate Software Developer with GEN AI and integrating large language models (LLMs) into products

Our public enterprise client is seeking Senior & In
termediate
Sof
tware
Developer with GEN AI and
integrating large language models (LLMs) into products experience, building intelligent, agentic systems for Innovation Team.

-
,

1 year contract, possibilities of extensions. Hybrid in office, 3 days/week in Richmond Office

Must Have:

  • Bachelor’s degree in Computer Science or a related STEM field
  • 5+ years of software development experience, including recent work with LLMs or AI integration.
  • Proficiency in Python and experience with AI/ML frameworks (e.g., OpenAI SDKs, Lang Chain).
  • Experience in C#, .NET Core, and object-oriented design
    . Experience deploying solutions to the cloud (Azure preferred).
  • Experience in agent-based design concepts and tools (Auto Gen, Semantic Kernel, etc.).
  • Familiarity with RAG, GraphRAG, embeddings, and vector databases such as Cosmos DB, pgvector, or Qdrant.
  • Knowledge of APIs, CI/CD pipelines, Git, and Agile software development practices.
  • Ability to synthesize complexity and communicate AI capabilities clearly to diverse audiences.
  • Ability to collaborate and communicate effectively within cross-functional teams.
  • Responsibilities:

  • Build applications using OpenAI, Azure OpenAI, and open-source LLMs
  • Integrate LLMs into enterprise workflows and digital products
  • Explore and implement foundational patterns for multi-agent AI systems using tools like Auto Gen, Lang Chain, or Semantic Kernel
  • Collaborate with product teams and data scientists to create prototypes, test, refine, and deliver functional AI products
  • Develop evaluation frameworks to test AI applications
  • Maintain clear documentation of models, architecture, and decision-making
  • Stay current with research and best practices in generative and agentic AI
  • Participate in Agile ceremonies, code reviews, and Dev Ops practices
  • Maintain technical documentation and participate in system architecture decisions
  • Support knowledge sharing with development team
  • Position Requirements
    10+ Years work experience
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