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Open nowFirst seen 42 hours ago

AI & Platform Software Engineer

Glint Tech Solutions LLC139 open roles

Where
Buffalo, New York, United States
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Your applicationOpen nowAI & Platform Software EngineerGlint Tech Solutions LLC · Buffalo, New York, United States

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Glint Tech Solutions LLC's own form.

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The clock on this job

Early applications get read.

11.8% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.8%7 days
  4. 18.6%14 days
  5. 35.6%30 days
  6. 45.1%60 days
This job: first seen 42 hours ago

The posting

Job Title: AI & Platform Software Engineer

Location: Remote within the USA, or onsite in Buffalo, NY / Wilmington, DE (client preference for candidates near these areas). New hires are required to work onsite at the client's office for the first 2–3 weeks (treated as a business trip; travel expenses covered by the company).

Company Overview

Glint Tech Solutions is a women-owned, global IT staffing and recruiting firm serving enterprise clients across the USA and Canada.

Project Description

A leading financial services client is building its enterprise GenAI capability across two closely partnered organizations: GenAI Platform & Enablement (a governed AI gateway on Azure API Management, model access via Azure AI Foundry with a deliberately venue-agnostic design, model integrations, retrieval services, environments, and observability) and Developer Experience (SDLC automation and tooling, quality engineering and test data management, and site reliability engineering). Because the engineering foundations overlap heavily, all Software Engineer III openings across both organizations are filled through this single posting — candidates are evaluated once against a common engineering bar, then routed to the track and team where their depth fits best. Every seat is hands-on: engineers design, build, test, document, and operate; contractor seats (18 months, extension possible, contract-to-hire in intent) carry front-loaded build work with capability transfer built in.

Key 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

Mandatory Skills

  • 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

Nice-to-Have 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
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