Senior AI Developer, Engineering

This is a fully remote position, open to applicants in Illinois.

📋 Description

• Facilitate technical discovery sessions with client business, IT, architecture, security, data, and operations teams.

• Convert business goals, workflows, and operational challenges into technical requirements, architectural designs, and implementation strategies.

• Evaluate enterprise application landscapes, integration needs, data environments, security limitations, and operational models.

• Act as a trusted technical advisor for clients and internal stakeholders.

• Convey complex AI, data, platform, and integration concepts to both technical and executive audiences.

• Recognize technical risks, dependencies, assumptions, and strategies for mitigation.

• Create technical prototypes and proofs of concept.

• Design comprehensive solutions that link AI Agency capabilities with client systems, data sources, content repositories, workflows, and approval processes.

• Develop and set up production-quality integrations utilizing APIs, webhooks, event-driven patterns, secure file transfers, connector frameworks, and enterprise integration platforms.

• Create client-specific configuration and deployment resources.

• Actively contribute code across backend services, integration components, data pipelines, AI workflows, and supporting user experiences.

• Design and execute AI-enhanced workflows using LLMs, RAG, agent orchestration, structured outputs, evaluation frameworks, and human approval checkpoints.

• Implement authentication, authorization, identity federation, secrets management, data mapping, error handling, observability, and audit requirements.

• Assist in the transition from prototype to stable production deployment.

• Construct and maintain data pipelines that support reporting, analytics, and AI workflows.

• Collaborate with data engineering teams on ETL/ELT and analytics projects.

• Develop cloud-native solutions, preferably utilizing Google Cloud Platform.

• Execute CI/CD pipelines and automated deployment procedures.

• Build and maintain containerized applications using Docker and Kubernetes.

• Ensure reliability through monitoring, logging, alerting, and observability.

• Provide support for production troubleshooting, performance optimization, and incident resolution.

• Exhibit inclusive behaviors and actively manage bias.

• Perform additional duties as assigned.

⛳️ Requirements

• Bachelor's degree in Computer Science, Engineering, Information Systems, or equivalent practical experience.

• Over 9 years of experience in software engineering, solution engineering, technical consulting, platform implementation, or related engineering roles.

• More than 5 years of experience in designing and deploying production cloud-based AI, data, or enterprise application solutions.

• Advanced programming proficiency in Python and at least one other modern language such as JavaScript/TypeScript, C#, Java, or .NET.

• Extensive experience in designing APIs, data pipelines, event-driven architectures, enterprise integrations, authentication and security frameworks, and distributed systems.

• Practical experience with generative AI technologies including LLMs, prompt engineering, RAG, embeddings, vector databases, agent orchestration, AI evaluations, observability, and guardrails.

• Familiarity with Git, CI/CD, automated testing, containers, and cloud-native development practices.

• Strong communication, consulting, and stakeholder management abilities with a knack for influencing others.

• Willingness to work in designated U.S. locations based on business and operational needs.

🏝️ Benefits

• Competitive salaries and benefits.

• Reasonable accommodation during the interview and hiring process for qualified applicants with disabilities.

• Equal opportunity employment.