Senior Software Engineer (AI), Tech Lead
Vancouver, BC, Canada
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Conexiom
Instantly turn unstructured trade documents into structured data with The Conexiom Platform.About Conexiom:
Conexiom empowers manufacturers and distributors to ship more ideal orders—that are accurate, on time, in full, and profitable. Emailed and unstructured sales orders are transformed into digital, touchless transactions with speed and precision by our self-learning AI and automation platform. Innovative AI agents drive continuous performance gains by turning root-cause insights into an automated action plan.
Join the team that leaders like Honeywell, Graybar, and Exxon rely on to fuel profitable growth, stronger customer relationships, and become the employer of choice. Conexiom is backed by leading growth capital partners Luminate Capital Partners, Warburg Pincus, and ICONIQ Capital.
About the Role:
As a Senior Software Engineer, Tech Lead, on the Development Team, you will be working in a fast-paced Agile environment with a proven product, team members and seniors to assist you in taking the next steps in your career. We are a Microsoft .NET and Azure shop that provides our Conexiom SaaS solution in a global 24x7 production environment.
Responsibilities:
- Designs, develops, and deploys software integrating AI APIs (e.g., OpenAI’s GPT, embeddings) for features like natural language processing, chatbots, or recommendation systems
- Takes ownership of projects, stories and tasks, and follows through
- Contributes in a senior and leadership capacity to the design and architecture of new features
- Strong ability to break down stories into technical tasks with high accuracy. Ensures all stories and technical tasks for the team are ready before sprint starts.
- Strong ability to break down stories into technical tasks with high accuracy. Ensures all stories and technical tasks for the team are ready before sprint starts.
- Works as part of an Agile team creating new features and delivering improvements in every sprint
- Able to quickly learn and contribute to the documentation of the existing infrastructure and architecture
- Recommends and implements improvements to the existing development process
- Assists engineering management as required with projects and deliverables
- Collaborates effectively with teammates by adopting a hybrid Work-From-Home arrangement with minimum two days in office per week, per team guidelines and protocols
Key Qualifications:
- Collaborates effectively with teammates by adopting a hybrid Work-From-Home arrangement with minimum two days in office per week, per team guidelines and protocols.
- Significant experience developing and supporting a 7x24 SaaS solution
- Significant experience with cloud platforms (Microsoft, Google or Amazon)
- Strong familiarity with AI Agent tooling (Copilot and Cursor), and Agentic AI
- Knowledge of AI model limitations, prompt engineering, and output validation
- Experience with AI APIs and frameworks (OpenAI, Hugging Face, LangChain, etc.)
- Experience with DevOps tools (Docker, Kubernetes) or CI/CD pipelines
- Significant experience with development tools (Visual Studio, Jira, Azure DevOps, etc)
- Significant experience with the SDLC process (Design, Implement, QA, Release, Maintain)
- Experience building an enterprise class business automation solution an asset
- Effective communicator and collaborator
- Self-directed; executes general goals and knows when and how to seek assistance from management
- Proactive, results-oriented personality who takes initiative and seizes opportunity
- Detail-oriented, analytical and focused on building maintainable and extensible solutions
- Demonstrated ability to work on multiple projects concurrently
- Proven track record of working with a team that successfully delivers on a product vision
- Post-secondary education in Computer Science or Engineering
- Impactful Work: Play a pivotal role in transforming how businesses operate on a global scale.
- Growth Opportunity: Be part of an ambitious company on a rapid growth trajectory, offering numerous opportunities for personal and professional development.
- Remote Flexibility: Enjoy the flexibility of a fully remote position, allowing you to work from anywhere.
- Inclusive Culture: Join a diverse team of innovative thinkers and doers, committed to fostering an inclusive environment where everyone can thrive.
#LI-Hybrid
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile APIs Architecture Azure Chatbots CI/CD Computer Science Copilot DevOps Docker Engineering GPT Jira Kubernetes LangChain NLP OpenAI Pipelines Prompt engineering SDLC
Perks/benefits: Career development Startup environment
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