> Markdown version of [/jobs/ext/1448641-ai-solutions-developer](https://www.wearedevelopers.com/jobs/ext/1448641-ai-solutions-developer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Solutions Developer - **Company:** The Segerdahl LLC - **Location:** Wheeling, IL, United States - **Experience:** Experienced - **Salary:** $125,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Amazon S3, Spreadsheets, Cloud Computing, Cloud Engineering, Information Systems, Data Validation, Data Infrastructure, Database Connection, Amazon DynamoDB, Identity and Access Management, Python (Programming Language), Microsoft SQL Server, Node.Js, Software Engineering, SQL Databases, Systems Integration, TypeScript, Workflow Management Systems, AWS Cdk, Data Logging, Delivery Pipeline, Large Language Models, Prompt Engineering, AWS Lambda, Amazon Virtual Private Cloud (VPC), Backend, Build Management, Information Technology, Virtual Agents, Cloudwatch, Restful APIs, Dynatrace, Serverless Computing - **Published:** July 26, 2026 - **Apply:** https://diversityjobs.com/main/sendform/8/8/28176/1/17710747?backUrl=%2Fcareer%2F17710747%2FAi-Solutions-Developer-Illinois-Wheeling ## About the Role * Bachelor's degree in computer science, software engineering, information systems, or a related field, or an equivalent combination of education and relevant experience. * Three to six years of software, cloud, backend, or AI engineering experience, including delivery of production systems. * Demonstrated experience designing, deploying, and supporting production solutions across AI, cloud, backend, or data environments. * Ability to work independently through ambiguity and communicate technical designs clearly to technical and nontechnical audiences. Preferred Qualifications * Client-facing discovery, consulting, solution design, or technical documentation experience. * Experience integrating solutions with enterprise resource planning systems or other operational platforms. Technical Skills and Experience AI and LLM Engineering LLM API Integration Agentic Workflow Design Structured Output Enforcement Prompt Engineering Vision/Multimodal LLM's AWS and Cloud Engineering AWS Lambda AWS CDK EventBridge, SES and S3 DynamoDB VPC Networking CloudWatch adn X-Ray Backend and Database Engineering Python SWL (Read and Write) REST API Integration Type Script/Node.js Microsoft SQL Server Engineering Practices * Consistently applies managed secrets, parameterized queries, least-privilege IAM, input validation, and other secure engineering practices. * Ability to create technical specifications and client-facing documentation that non-engineers can understand, review, and approve. * Ability to translate an ambiguous need into a concrete, secure, and executable implementation plan without step-by-step direction. Travel: Minimal local travel may be required for meetings, trainings, and/or other business purposes sg360 does not offer employment-based visa sponsorship now or in the future. Candidates must be legally authorized to work in the United States without the need for current or future visa sponsorship. This policy applies to all applicants, including those whose employment authorization may expire in the future and would require sponsorship to remain employed. ## Description We are seeking an AI Solutions Developer to design, develop, deploy, and maintain secure AI-enabled automation solutions that integrate with enterprise and client operations. The position combines large language model (LLM) and agent engineering, AWS serverless infrastructure, backend development, and operational problem-solving. The developer translates complex business workflows into reliable systems that process structured and unstructured information, interact with ERP and external systems, and route consequential decisions through appropriate human approval controls., AI and Agentic Workflow Engineering * Design and build AI agent pipelines using approved LLM platforms and APIs, including tool definitions, system prompts, context files, orchestration loops, state management, and exception handling. * Develop secure integrations that allow agents to interact with SQL databases, REST APIs, documents, images, spreadsheets, email, and other enterprise systems. * Enforce validated outputs using tools such as Pydantic or Zod and implement human approval checkpoints before consequential or irreversible actions. * Diagnose production behavior by tracing prompts, model responses, tool calls, validations, and downstream events; resolve issues through changes to prompts, schemas, code, or workflow design. * Choose between AI methods and deterministic logic based on reliability, risk, cost, and business requirements. AWS and Cloud Engineering * Develop and maintain AWS infrastructure as code using CDK, preferably TypeScript, for serverless, data, integration, networking, identity, and security services. * Build event-driven and scheduled pipelines, including file and email triggers, event routing, API entry points, and recurring workflows. * Configure VPC-attached Lambda functions and secure database connectivity using scoped security groups, managed credentials, and appropriate connection-management patterns. * Maintain structured logging, alarms, distributed tracing, and deployment pipelines across development, staging, and production; apply least-privilege and security-by-default practices. Client Systems, Discovery, and Documentation * Lead or participate in discovery with business stakeholders and client technical teams to understand processes, ERP schemas, data requirements, constraints, and approval points. * Create readable context-file, workflow, and technical specifications that document business rules, integrations, exception handling, validation, and approval logic. * Support testing, deployment, monitoring, incident resolution, documentation, and continuous improvement of production solutions. * Perform other related responsibilities as assigned to support changing business needs. * Success Measures * Solutions meet approved requirements and produce accurate, secure, validated, and auditable outcomes. * Production systems achieve agreed reliability, performance, and support expectations, including effective approval and exception controls. * Projects progress predictably, risks are surfaced early, and documentation supports review, maintenance, and knowledge transfer. ## Related Videos - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [Stop using Node.js like in 2020! What changed and what you can do today with Node.js](https://www.wearedevelopers.com/videos/100011-stop-using-node-js-like-in-2020-what-changed-and-what-you-can-do-today-with-node-js) - [Building Reliable Serverless Applications with AWS CDK and Testing](https://www.wearedevelopers.com/videos/812-building-reliable-serverless-applications-with-aws-cdk-and-testing) - [Coffee with Developers - Maria Apazoglou](https://www.wearedevelopers.com/videos/1209-coffee-with-developers-maria-apazoglou) - [The power of Cloud Development Kit (CDK): How to get the most out of it](https://www.wearedevelopers.com/videos/740-the-power-of-cloud-development-kit-cdk-how-to-get-the-most-out-of-it) - [Stop Using Node.js Like It’s 2020! - Alfonso Graziano](https://www.wearedevelopers.com/videos/1863-stop-using-node-js-like-it-s-2020-alfonso-graziano) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Got AI ideas but no money? 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