Software Engineer - Agentic AI (Python/Azure/GCP)
KeyBank•Brooklyn, OH
•$71,000 - $125,000•Hybrid
About The Position
The Software Engineer, Agentic AI & Cloud Solutions designs, develops, and supports intelligent applications, AI agents, APIs, and cloud-native services using Python, Azure, Google Cloud Platform (GCP), and Microsoft Copilot technologies. This role partners directly with business stakeholders to evaluate opportunities, define requirements, develop solutions, and support the delivery of conversational AI and retrieval-augmented generation (RAG) capabilities that improve business processes and user experiences.
Requirements
- Bachelor's degree in computer science, Information Technology, or related field; or equivalent professional experience.
- 3+ years of software engineering or application development experience.
- Strong Python development experience.
- Experience building and consuming REST APIs.
- Experience with FastAPI, Flask, or similar Python frameworks.
- Experience with Azure or Google Cloud Platform.
- Experience with Terraform or Infrastructure as Code.
- Strong communication skills with the ability to interact directly with business stakeholders.
- Experience supporting applications in production environments.
Nice To Haves
- Experience developing AI, Generative AI, Agentic AI, conversational AI, or RAG solutions.
- Experience with Microsoft Copilot Studio.
- Experience with Azure OpenAI, Azure AI Search, or enterprise LLM platforms.
- Experience with React, Node.js, JavaScript, or TypeScript.
- Experience integrating AI solutions with enterprise APIs, content repositories, and databases.
- Experience working in regulated industries such as banking or financial services.
Responsibilities
- Design, develop, test, and support AI-powered applications and cloud-native services using Python.
- Build and enhance conversational AI and agent-based solutions using Microsoft Copilot Studio and enterprise AI platforms.
- Develop and integrate REST APIs using Python frameworks such as FastAPI or Flask.
- Collaborate with business partners to understand use cases, gather requirements, and translate needs into technical solutions.
- Develop and support solutions across Azure and GCP environments.
- Utilize Azure services including Azure Functions, Azure AI Search, and AI/LLM services.
- Utilize GCP services including Cloud Run and related cloud-native capabilities.
- Implement infrastructure using Terraform and Infrastructure-as-Code practices.
- Monitor application performance, reliability, and availability while troubleshooting production issues.
- Apply secure coding, cloud security, and governance best practices.
- Participate in solution testing, documentation, continuous improvement initiatives, and technology evaluations.
Benefits
- Eligibility for incentive compensation which may include production, commission, and/or discretionary incentives.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
Associate degree
