[Hiring] Software Engineer, AI @Softchoice

Role Description

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.

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.
• 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.

Requirements

• 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.

Benefits

• 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