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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Engineer - **Company:** Scigon Solutions - **Location:** Chicago, IL, United States (Remote available) - **Experience:** Experienced - **Salary:** $108,160.0 - $145,600.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Microsoft Azure, Cloud Computing, Distributed Systems, Identity and Access Management, Role-Based Access Control, Search Technologies, Software Engineering, Systems Integration, Flexi (Photoshop Plugin), Google Cloud, Enterprise Software Applications, Large Language Models, Multi-Agent Systems, Prompt Engineering, AI Platforms, Kubernetes, Api Design, Software Version Control - **Published:** July 22, 2026 - **Apply:** https://www.dice.com/job-detail/1f4c2f42-d592-41b0-86c3-353de2835d15 ## About the Role The ideal candidate combines hands-on experience with modern LLM platforms, strong software engineering fundamentals, and the ability to work directly with business partners to translate ideas into production-ready solutions., * Proven experience developing, publishing, and managing Claude Skills or plug-ins in a production environment. * Demonstrated success deploying AI capabilities that are actively used by business stakeholders. * Ability to contribute immediately with minimal onboarding and ramp-up time. Enterprise Delivery Experience * Experience building and deploying technology solutions within regulated or highly governed enterprise environments. * Strong understanding of security controls, compliance requirements, access management, and operational governance. * Comfortable working within structured delivery processes and change-control frameworks. Business Partnership Skills * Strong communication and stakeholder management abilities. * Capable of translating business challenges into practical AI-enabled solutions. * Experience collaborating with both technical and non-technical audiences., * 5+ years of experience in software engineering, automation engineering, or a related technical discipline. * At least 2 years of experience designing and deploying production-grade solutions powered by large language models. * Strong proficiency in Python development and API-based integrations. * Experience with enterprise software integration patterns and distributed systems. * Solid engineering practices, including testing, source control, observability, monitoring, and supportability. * Hands-on experience with modern LLM ecosystems, including prompt engineering, model configuration, tool integration, and function execution. * Experience working within public cloud environments such as Azure, Google Cloud Platform, Vertex AI, or equivalent technologies. * Ability to evaluate AI use cases pragmatically and determine when traditional engineering approaches may be more effective. * Self-directed and capable of independently leading technical initiatives in a fast-moving environment., * Experience building AI agents and multi-agent workflows. * Familiarity with orchestration platforms and agent frameworks. * Understanding of Model Context Protocol (MCP) implementations and agent-to-agent integrations. * Experience with RAG architectures, vector databases, embeddings, and semantic search solutions. * Knowledge of modern identity and access management concepts, including RBAC, service accounts, agent identities, and least-privilege models. * Previous experience supporting organizations operating within highly regulated industries such as insurance, financial services, healthcare, or similar sectors. ## Description We are seeking an Applied AI Engineer to help design, deploy, and operationalize enterprise AI capabilities. This individual will play a key role in enabling AI-powered solutions through native platform functionality, delivering practical business outcomes, and ensuring compliance with enterprise governance and security standards., * Design, deploy, and manage reusable AI capabilities within enterprise AI platforms, including skills, tools, and plug-in functionality. * Drive the complete lifecycle of AI enablement solutions, from intake and configuration through deployment, governance, ongoing support, and optimization. * Configure foundation models such as Claude, Gemini, and similar technologies to support enterprise automation and business workflows. * Deliver AI solutions from concept through production implementation, ensuring scalability, security, and operational readiness. * Integrate existing enterprise systems, services, and approved tools using available connectivity frameworks and protocols. * Collaborate with Security, Cloud, and Infrastructure teams to implement appropriate access controls, identity management practices, and credential governance. * Ensure solutions comply with established AI governance standards, including auditability, monitoring, risk controls, and operational guardrails. * Partner with engineering, automation, data, and business teams to identify opportunities and deliver impactful AI-driven capabilities. ## Related Videos - [API Design - Getting Started](https://www.wearedevelopers.com/videos/33-api-design-getting-started) - [Understanding Kubernetes in a visual way](https://www.wearedevelopers.com/videos/100085-understanding-kubernetes-in-a-visual-way) - [The Cloud is Calling: Answer with In-Demand Skills](https://www.wearedevelopers.com/videos/945-the-cloud-is-calling-answer-with-in-demand-skills) - [Agentic AI - From Theory to Practice: Developing Multi-Agent AI Systems on Azure](https://www.wearedevelopers.com/videos/1532-agentic-ai-from-theory-to-practice-developing-multi-agent-ai-systems-on-azure) - [Building a Multi-Agent Orchestration Engine That Actually Follows the Rules](https://www.wearedevelopers.com/videos/100159-building-a-multi-agent-orchestration-engine-that-actually-follows-the-rules) - [Rest API Antipatterns](https://www.wearedevelopers.com/videos/100208-rest-api-antipatterns) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care)