Software Engineer, AI

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.

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.

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 work streams 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.

• Design, build, test, deploy, and support production‑ready AI applications and defined technical work streams, 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.

• 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 Type Script/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…