Sr. Software Engineer
Listed on 2026-01-02
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Software Development
AI Engineer, Machine Learning/ ML Engineer
Sr. Software Engineer
Date: Nov 12, 2025
Location: Toronto, ON, CA
• AL, US
• AB, CA
• Calgary, AB, CA
• Dallas, TX, US
• FL, US
• GA, US
• MB, CA
• MI, US
• New Brunswick, CA
• NL, CA
• NC, US
• Nova Scotia, CA
• Oakville, ON, CA
• Ottawa, ON, CA
• PA, US
• Maryland Heights, MO, US
Company: Softchoice
Why you’ll love Softchoice:We are a software-focused IT solutions and services provider that equips organizations to be agile and innovative, and for their people to be engaged, connected, and creative t means moving them to the cloud, helping them build the workplace of tomorrow, and enabling them to make smarter decisions about their technology. By doing these things we help them create success for their customers and their people.
We stand proudly for our people and support their success through career development and advancement. We are recognized and respected for our culture of inclusion and belonging, continuously striving to do what’s good for our people and communities.
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 Sr. Software Engineer AI to spearhead the development of AI-driven solutions that empower businesses with intelligent automation, data-driven insights, and next-generation software applications. If you have a passion for cutting-edge AI, cloud-native development, and scalable software solutions, we would love to have you on board.
Your work will span:
Customer projects focused on advanced AI-driven solutions and cloud development.
Internal projects dedicated to building Softchoice intellectual property (IP) and innovative AI-based software that differentiates us in the market.
These initiatives will encompass AI model development, cloud AI deployment, MLOps, software engineering, and Dev Ops methodologies, all delivered using Agile practices. You will work on both greenfield AI application development and modernization of existing solutions into cloud-native architectures.
What you’ll d o:
Design and implement scalable AI architectures, leveraging cloud-native technologies, containerization, and serverless computing.
Optimize AI model performance, including fine-tuning LLMs, indexing, chunking strategies, and retrieval-augmented generation (RAG).
Build and integrate AI solutions with APIs and cloud services, including Azure AI/ML, AWS AI/ML services, and Google AI solutions.
Implement MLOps and LLMOps pipelines to streamline AI model lifecycle management, using CI/CD best practices and infrastructure-as-code (IaC).
Develop and implement AI agents using Agent AI frameworks, including autonomous AI agents for business automation, workflow optimization, and intelligent decision-making.
Work closely with cross-functional teams, including data scientists, software engineers, Dev Ops engineers, and business stakeholders to deliver impactful AI solutions.
Lead innovation and research into emerging AI technologies and frameworks to keep Softchoice at the forefront of AI-driven solutions.
Develop reusable AI solution components and comprehensive technical documentation.
Support pre-sales and sales teams by providing AI solution expertise, helping to identify and define customer opportunities.
Over 8 years of experience in software engineering, with at least 2 years focused on AI development preferred.
Expertise in Python and relevant AI/ML frameworks (e.g., Tensor Flow, PyTorch, scikit-learn, FastAPI, Flask, Lang Chain, Llama Index).
Hands‑on experience with at least one of the following:
Azure OpenAI Services, AWS Bedrock, GCP Vertex, open‑source LLMs, or generative AI application development.Proficiency in cloud computing (Azure, AWS, or Google Cloud) and AI platform services.
Experience with CI/CD pipelines and Dev Ops methodologies (Azure Dev Ops, Git Hub Actions, Jenkins, Circle
CI, Git Lab CI/CD).Containerization and orchestration experience (Docker, Kubernetes) with a focus on AI workloads.
Proficiency in search and indexing solutions (e.g., Azure AI Search, Kendra, Open search) for RAG applications.
Strong understanding of API development and integration with AI‑driven…
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