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.
• Strong Python development skills and experience with at least one additional language such as TypeScript/JavaScript, Java, C#, or Go.
• 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.