Software Engineer - Agentic AI (Python/Azure/GCP)

Location: 4910 Tiedeman Road, Brooklyn Ohio 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. Essential 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. Required Qualifications - 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. Preferred Qualifications - 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. This position is not eligible for employment visa sponsorship. Candidates must be legally authorized to work in the United States and cannot require sponsorship now or in the future, including individuals on temporary work authorization such as CPT or OPT. COMPENSATION AND BENEFITS This position is eligible to earn a base salary in the range of $71,000.00 - $125,000.00 annually. Placement within the pay range may differ based upon various factors, including but not limited to skills, experience and geographic location. Compensation for this role also includes eligibility for incentive compensation which may include production, commission, and/or discretionary incentives.