AI Solutions Developer
SG360°
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Benefits offered by this job
Job summary
sg360° is seeking an AI Solutions Developer to design, build, deploy, and maintain secure AI-enabled automation that integrates with enterprise operations.
The role spans LLM/agent engineering, AWS serverless infrastructure, backend development, and problem-solving, turning complex workflows into reliable, auditable systems with human approval controls.
Qualifications
- Bachelor’s degree or equivalent in computer science or related field.
- 3–6 years in software, cloud, backend, or AI engineering with production delivery.
- Experience deploying AI/cloud solutions across AI, cloud, backend or data environments.
- Ability to communicate complex designs to technical and nontechnical audiences.
Responsibilities
- Design and build AI agent pipelines using LLM platforms and APIs.
- Develop secure integrations with SQL, REST APIs, docs, images, and ERP systems.
- Enforce validated outputs and implement human approval checkpoints.
- Diagnose production behavior and resolve issues via prompts, schemas, or code changes.
- Choose AI methods vs. deterministic logic based on reliability and cost.
Skills
Education
Tools
Job description
Description
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
- vision insurance
- life insurance
- an education assistance program
- short- and long-term disability
- welfare resources
- identity theft protection
- 401k with employer match
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.
- 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.
- 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.
- 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.
- Client-facing discovery, consulting, solution design, or technical documentation experience.
- Experience integrating solutions with enterprise resource planning systems or other operational platforms.
- 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.
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.
sg360° is an Equal Opportunity Employer.
We make employment decisions based on merit, qualifications, and business needs. sg360° does not discriminate on the basis of race, color, religion, sex, national origin, age, disability, veteran status, or any other status protected by applicable law.
sg360° will provide reasonable accommodations to individuals with disabilities in the hiring process, in accordance with applicable laws. If you require an accommodation to complete your application, please contact the location to which you are applying and ask to speak with the Human Resources representative.
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