Software Engineer, AI

Softchoice; Toronto; On-site; CAD 91,000 - 114,000; Full time

Benefits offered by this job

Health & Dental

RRSP Matching

Vacation & Holidays

Employee Discount

Volunteer Days

Job summary

Softchoice, an IT solutions provider servicing the U.S. and Canadian markets, is hiring a Software Engineer, AI to design and deliver AI-driven solutions for intelligent automation and data insights.

You will independently deliver complex components from design to production, translating business needs into secure, scalable software within an overall solution architecture. The role requires 4–6 years in software engineering with 2+ years in AI, ML, or generative AI, plus experience with cloud

Qualifications

• Typically 4–6 years of software engineering experience, including at least 2 years developing AI, machine learning, or generative AI solutions.
• Proven experience delivering production‑grade applications or AI capabilities beyond proof‑of‑concept.
• Experience building backend services, APIs, integrations, databases, authentication/authorization, and asynchronous or event‑driven applications.
• Hands‑on experience with Azure, AWS, or Google Cloud and modern AI platforms such as Azure AI Foundry, Amazon Bedrock, Vertex AI, OpenAI, Anthropic, or open‑source models.
• Practical experience with LLM applications, RAG, embeddings, vector search, prompt engineering, AI agents/tool integration, evaluation, and data pipelines.
• Experience developing modern web applications using React or Next.js.
• Solid understanding of software architecture, secure development, responsible AI, and component‑level technical design.
• Experience using AI‑assisted engineering tools such as GitHub Copilot, Cursor, or Claude Code.
• Strong communication, estimation, Agile delivery, and customer‑facing collaboration skills.

Responsibilities

• Design, build, test, deploy, and support production‑ready AI applications and defined technical workstreams with architectural guidance.
• Translate customer and business requirements into designs, plans, estimates, acceptance criteria, and trade‑offs.
• Develop AI solutions using LLMs, RAG, semantic search, document/data processing, and agentic workflows.
• Build secure backend services, APIs, integrations, and cloud‑native components linking AI apps to enterprise data.
• Design ingestion, chunking, embeddings, retrieval, prompting, grounding, tool use, memory, and workflow orchestration.
• Evaluate models, platforms, and approaches for quality, latency, cost, scalability, security, and privacy.
• Productionize AI with automated tests, resiliency, observability, performance optimization, and governance.
• Contribute to CI/CD, infra‑as‑code, containerized/serverless deployments, and MLOps/LLMOps.
• Participate in architecture reviews; create reusable components; document runbooks and standards.
• Collaborate with customers, architects, engineers, data teams, and stakeholders through discovery and design.

Skills

AI development

LLM apps

APIs & backend

Cloud platforms

React/Next.js

Security & privacy

MLOps/LLMOps

GitHub Copilot/Cursor

Agile delivery

Customer collaboration

Tools

Azure

AWS

Google Cloud

Azure AI Foundry

Amazon Bedrock

Vertex AI

OpenAI

Anthropic

Job description

Select how often (in days) to receive an alert:

Company: Softchoice

Whyyou’lllove Softchoice:

At Softchoice, a World Wide Technology (WWT) company, we work together to make a new world happen. As an IT solutions provider serving U.S. commercial and SMB organizations, as well as the entire Canadian market, we help organizations turn ambition into real‑world outcomes. We do this through the delivery of secure cloud, AI, software and digital workplace solutions that enable agility, innovation and growth.

With a highly engaged, high-performing team, we are certified as a Great Place to Work® in both Canada and the United States, and have been recognized as a Best Workplace in Canada for more than 20 years. We stand proudly for our people and their success through career development and advancement, and continuously strive to do what’s good for our people and communities.

As part of WWT, we connect customers to the global scale, advanced innovation, world-class partnerships, and deep expertise of a leader in AI and digital transformation. This includes access to WWT’s Advanced Technology Center (ATC), a collaborative ecosystem featuring state‑of‑the‑art hardware and software that enables customers and partners to conceptualize, test, and validate innovative solutions before deploying them at scale.

The impact you will have:

Softchoice is on a mission to help our clients unleash the power of AI and cloud‑native software. We are hiring a Software Engineer, AI to play a key role in designing and delivering AI‑driven solutions that empower businesses with intelligent automation, data‑driven insights, and next‑generation software applications.

In this intermediate‑level role, you will independently deliver complex components and defined technical workstreams from design through deployment and operational support, while working within an overall solution architecture established with senior engineers and architects. You will translate business requirements into secure, scalable, and supportable software and help move AI concepts and proofs of concept into production.

What you’ll do:

• Design, build, test, deploy, and support production‑ready AI applications and defined technical workstreams, with architectural guidance on broader solution decisions.
• Translate customer and business requirements into component designs, implementation plans, estimates, acceptance criteria, and technical trade‑offs.
• Develop AI solutions using LLMs, RAG, semantic search, document/data processing, and agentic workflows.
• Build secure backend services, APIs, integrations, and cloud‑native components that connect AI applications with enterprise systems and data sources.
• Design and optimize ingestion, chunking, embeddings, retrieval, prompting, grounding, tool use, memory, and workflow orchestration.
• Evaluate models, platforms, and solution approaches based on quality, latency, cost, scalability, security, privacy, and operational requirements.
• Productionize AI solutions through automated testing, resiliency, observability, performance optimization, evaluation, monitoring, and responsible AI controls.
• Contribute to CI/CD, infrastructure‑as‑code, containerized/serverless deployments, and MLOps/LLMOps practices.
• Participate in architecture, design, and code reviews; create reusable components; improve engineering standards; and produce technical documentation and runbooks.
• Collaborate with customers, architects, engineers, data teams, and business stakeholders through discovery, technical design, demonstrations, estimates, and knowledge transfer.

What you’ll bring to the table:

• Typically 4–6 years of software engineering experience, including at least 2 years developing AI, machine learning, or generative AI solutions.
• Proven experience delivering production‑grade applications or AI capabilities beyond proof‑of‑concept.
• Experience building backend services, APIs, integrations, databases, authentication/authorization, and asynchronous or event‑driven applications.
• Hands‑on experience with Azure, AWS, or Google Cloud and modern AI platforms such as Azure AI Foundry, Amazon Bedrock, Vertex AI, OpenAI, Anthropic, or open‑source models.
• Practical experience with LLM applications, RAG, embeddings, vector search, prompt engineering, AI agents/tool integration, evaluation, and structured or unstructured data pipelines.
• Experience developing modern web applications using frameworks such as React or Next.js.
• Solid understanding of software architecture, secure development, responsible AI, and component‑level technical design.
• Experience using AI‑assisted engineering tools such as GitHub Copilot, Cursor, or Claude Code to accelerate development, testing, troubleshooting, and documentation.
• Strong communication, estimation, Agile delivery, and customer‑facing collaboration skills, with the ability to independently own defined technical work.

Nice to have:

• Experience with Docker, Kubernetes, serverless architectures, messaging, caching, workflow orchestration, and distributed systems.
• Experience with Git, automated testing, CI/CD, infrastructure‑as‑code, production observability, and MLOps/LLMOps.
• Exposure to traditional machine learning, model fine‑tuning or adaptation, data science workflows, or scalable AI inference.
• Microsoft Azure, AWS, Google Cloud, or AI‑related certifications.

Compensation:

A reasonable estimate of the current base pay range for this position in Canada is $91,200 to $114,000, annually + % as target incentives.

Actual salary will be based on a variety of factors, including location, experience, skill set, education, and related certification. The range for this position in other geographic locations may differ.

Softchoice offers a comprehensive and competitive benefit plan to all full‑time employees, which includes:

• Health and Wellbeing: Medical and Dental Care, Employee & Family Assistance Program
• Financial Benefits: RRSP/DPSP Retirement Savings Plan with Company Matching, Life and Disability Insurance
• Paid Time Off: Vacation and Sick Leave, Holidays, Parental Leave, Volunteer Days, Bereavement Leave
• Additional Perks: Employee Discount Program

Not sure if you qualify? Think about applying anyway:

We understand that not everyone brings 100% of the skills and experience for the role.

At Softchoice, we offer opportunities to a diverse group including those with a variety of workplace experiences and backgrounds. Whether you are new to corporate tech, returning to work after a gap in employment, or looking to transition and take the next step in your career, we are excited to learn more about you and encourage you to apply.

Why You’ll Love Working Here:

• The People: You’ll thrive in our collaborative environment, surrounded by incredible colleagues who foster support and innovation, driving our collective success
• High‑Performing Culture: At Softchoice, we are dedicated to achieving our goals and committed to success for our customers and each other
• Flexibility: Plan your workdays in a way that suits you best
• Award‑Winning Workplace: Proudly recognized as a Great Place to Work for 21 consecutive years
• Inclusive Culture: We are committed to a company culture where every team member can be their authentic self
• Competitive Benefits: Benefit from competitive perks that start on day one

Inclusion & Equal opportunity employment:

We are an equal opportunity employer committed to diversity, inclusion & belonging. People seeking employment at Softchoice are considered without regard to any protected category including but not limited to, race, color, religion, national origin, age, sex, marital status, ancestry, disability, veteran status, gender identity, or sexual orientation.

Require accommodation? We are ready to help:

We are proud to provide interview & employment accommodation during the recruitment and hiring process. If you require any accommodation to apply or interview for a position, please reach out directly to [e-mail]. We are committed to working with you to best meet your needs.

Our commitment to your experience:

We are committed to the safety of all applicants and team members. With that in mind, we have implemented digital interviewing for everyone. We understand that you may need to interview with distractions around you (such as children or furry friends) and we will be doing the same.

Before you start with us, we will conduct a criminal record check, verify your education, and check your references.

When you join Softchoice, we will onboard you remotely. Don't worry. It's quick, simple and you'll be connected with your new team in no time.