AI & Platform Software Engineer

Glint Tech Solutions is a women-owned, global IT staffing and recruiting firm serving enterprise clients across the USA and Canada. They are seeking an AI & Platform Software Engineer to design, build, and operate production capabilities while leveraging GenAI in their engineering workflows. The role involves collaboration with various teams and participation in support rotations for live workloads.

Responsibilities:

• Design, build, test, and operate production capabilities hands-on, with documentation and evidence by default
• Leverage GenAI capabilities in your own engineering workflow — coding assistants, agent-based automation, AI-assisted testing and debugging — to accelerate delivery, including SDLC automation opportunities
• Work within the bank's SDLC gates, security standards, and separation-of-duties model, producing artifacts and evidence for each gate
• Partner across governance, architecture, cybersecurity, and application teams; communicate clearly with technical and business audiences
• Pair for capability transfer between FTEs and contractor counterparts so knowledge stays when engagements end
• Participate in support rotations for live workloads with incident triage and root-cause discipline

Requirements:

• SE III: Associate's + 7 years or Bachelor's + 5 years of systems analysis/application development experience (or combined 9 years); SE II: Associate's + 5 years or Bachelor's + 3 years equivalent experience (or combined 7 years)
• Strong software engineering fundamentals — architecture, API design, integration patterns, secure coding, testing, CI/CD, and operational support
• Hands-on experience with GenAI models and AI-assisted development workflows (coding assistants, prompt engineering, RAG/context engineering, or agent-based automation)
• Hands-on Azure experience relevant to the target track (APIM, Entra ID, Key Vault, Azure AI services including Azure AI Foundry, Azure Monitor, IaC tooling); current stack is Azure AI Foundry + APIM, designed to extend to additional venues (AWS Bedrock, Google Vertex, direct provider APIs) without rework
• Experience delivering and operating production systems in a controlled-change environment
• Strong communication, collaboration, documentation, and stakeholder engagement skills
• Demonstrated depth in one or more engineering tracks (candidates routed by strongest track fit across both organizations)
• Financial services or other highly regulated industry experience; familiarity with audit-evidence expectations
• Experience with GitLab Duo, Azure AI Foundry, Copilot Studio, Dynatrace, Delphix, or comparable track-relevant tooling
• Certifications or demonstrated training in cloud engineering, AI engineering, DevOps, SRE, or related disciplines