AI Solutions Developer

sg360° • Wheeling, IL

11d

About The Position

sg360° partners with Fortune 1000 brands to pursue unmatched direct marketing performance. We leave no stone unturned in our efforts to drive smarter targeting, stronger messaging and improved ROI. Everything we do - audience analytics, strategic planning, creative development, production and distribution - we do in the pursuit of performance.

When you join us, you gain access to a comprehensive benefits package, including paid time off, holiday pay, health, dental, and vision insurance, life insurance, an education assistance program, short- and long-term disability, wellness resources, identity theft protection, and a 401k with employer match. Be part of a legacy of excellence and growth with sg360°!

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.

Requirements

• 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.
• LLM API Integration
• Agentic Workflow Design
• Structured Output Enforcement
• Prompt Engineering
• Vision/Multimodal LLM's
• AWS Lambda
• AWS CDK
• EventBridge, SES and S3
• DynamoDB
• VPC Networking
• CloudWatch adn X-Ray
• Python
• SWL (Read and Write)
• REST API Integration
• Type Script/Node.js
• Microsoft SQL Server
• 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.

Nice To Haves

• Client-facing discovery, consulting, solution design, or technical documentation experience.
• Experience integrating solutions with enterprise resource planning systems or other operational platforms.

Responsibilities

• 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.
• 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.
• 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.

Benefits

• paid time off
• holiday pay
• health, dental, and vision insurance
• life insurance
• an education assistance program
• short- and long-term disability
• wellness resources
• identity theft protection
• a 401k with employer match

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level