Software Engineer

4 weeks ago

Halifax, Nova Scotia, Canada Connection Full time
Overview

What We Do: CNXN Helix Center at Connection Inc., is at the forefront of AI innovation, offering cutting-edge solutions that redefine the boundaries of artificial intelligence and data management. We are dedicated to helping our clients navigate the complexities of AI integration, ensuring they stay ahead in a rapidly evolving technological landscape. Our commitment to excellence, innovation, and strategic growth makes us an industry leader. Visit us at www.connection.com/helix.

Who We Are: Our team is made stronger by a multitude of backgrounds, experiences, and perspectives. It's what makes Connection unique—what drives us to innovate and create technology solutions that stand apart from the crowd. We'd love for you to be a part of that fabric, to share your ideas and experiences with a team that thrives on fresh thinking, creativity, and helping others.

Why You Should Join Us: You'll find supportive teammates and a rewarding career at Connection—plus great benefits. We take pride in supporting employees with a total rewards package that provides financial, emotional, and physical resources for you and your family. Our compensation, 401k plans, medical insurance, and other benefits are progressive and competitive. We value the importance of our employees' emotional wellbeing. To support employees, we provide free therapy visits, mental health coaching and tools, and meditation resources. You'll also enjoy a generous paid time off package that includes not only vacation and sick time, but also Wellness and Volunteer Time Off days.

Position Overview

Reporting directly to the VP of Core Engineering, relying on experience and judgement to plan and accomplish goals, the Software Engineer, Full Stack AI is a pivotal member of our engineering team. The Software Engineer develops scalable, high-performance AI applications using modern frontend and backend technologies, and works closely with data scientists, product managers, and other engineers to define, design, and implement new features. The Software Engineer is responsible for embedding AI algorithms and models into software applications, ensuring seamless functionality, as well as maintaining high code quality through unit testing, code reviews, and adherence to best practices. The Software Engineer enhances application performance for speed and scalability, contributes to architectural decisions, and helps evolve our AI technology stack. Additionally, the Software Engineer mentors and guides junior developers, fostering a culture of continuous learning, while staying abreast of the latest industry trends to bring innovative solutions to the team.

Responsibilities
  • Designs and develops scalable, high-performance AI applications using modern frontend and backend technologies.
  • Collaborates cross-functionally and works closely with data scientists, product managers, and other engineers to define, design, and implement new features.
  • Integrates AI models by embedding AI algorithms and models into software applications, ensuring seamless functionality.
  • Ensures code excellence by maintaining high code quality through unit testing, code reviews, and adherence to best practices.
  • Optimizes performance by enhancing application performance for speed and scalability.
  • Provides architectural input by contributing to architectural decisions and helping evolve our technology stack.
  • Guides and mentors junior developers, fostering a culture of continuous learning.
  • Innovates and stays abreast of the latest industry trends to bring innovative solutions to the team.
Salary Range

Min: USD $117,692.00/Yr.
Max: USD $153,000.00/Yr.

Qualifications
  • Bachelor's Degree in computer science, engineering or related field.
  • Minimum 8 years related experience with 3-5 years focused on AI projects.
  • Frontend: Proficiency in React, JavaScript, Webpack, HTML, and CSS.
  • Backend: Strong experience with Node.js, ExpressJS, and SQL databases like PostgreSQL.
  • AI/ML Integration: Familiarity with PyTorch, TensorFlow, and Large Language Models (LLMs).
  • Cloud Platforms: Experience with AWS, Azure, or Google Cloud.
  • Tools: Proficient with GitHub, BitBucket, JIRA, and Agile methodologies.
  • Problem-Solving: Excellent analytical skills with a knack for creative solutions.
  • Communication: Strong verbal and written communication abilities.
  • Leadership: Proven ability to lead projects and mentor team members.
  • Adaptability: Comfortable in a fast-paced, evolving environment.
  • Real-world generative and predictive foundational experience preferred.
  • Knowledge in identity, security, access management, workflow and/or developer-facing products preferred.
  • Direct experience working with cross-organizational teams.
  • Knowledge of virtualization, NVIDIA stacks, and security best practices is a plus.
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