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 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 reliable technical advisor for clients and internal stakeholders.

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

• Identify 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 configure production-quality integrations utilizing APIs, webhooks, event-driven patterns, secure file exchanges, connector frameworks, and enterprise integration platforms.

• Contribute actively to code across backend services, integration components, data pipelines, AI workflows, and user experience support.

• Design and implement AI-enabled workflows employing 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.

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

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

• Set up CI/CD pipelines and automated deployment processes.

• Build and manage containerized applications using Docker and Kubernetes.

• Assist in monitoring, logging, alerting, observability, production troubleshooting, performance optimization, and incident resolution.

• Uphold standards of testing, code quality, scalability, and operational excellence.

• Exhibit inclusive behaviors and perform additional assigned duties.

⛳️ Requirements

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

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

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

• Advanced programming expertise 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.

• Excellent communication, consulting, and stakeholder management abilities.

• Eligible for employment in specific U.S. locations based on business and operational needs.

🏝️ Benefits

• Competitive salaries and benefits.

• Reasonable accommodations during the hiring process for qualified applicants with disabilities.

• An inclusive culture and a commitment to being an Equal Opportunity Employer.