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 workflows into technical specifications, architectural designs, and implementation strategies.

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

• Provide guidance to clients and internal stakeholders on AI, data, platform, and integration topics.

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

• Create technical prototypes and proofs of concept.

• Design comprehensive AI solutions that connect client systems, data sources, content repositories, workflows, and approval processes.

• Construct and configure production-ready integrations using APIs, webhooks, event-driven patterns, secure file exchanges, connector frameworks, and enterprise integration platforms.

• Develop client-specific configuration and deployment assets.

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

• Create and implement AI-enabled workflows utilizing 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.

• Aid in the transition from prototypes to stable production environments.

• Construct and maintain integrations, system connectors, and data pipelines.

• Design processes for data mapping, transformation, validation, and synchronization.

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

• Develop cloud-native solutions, ideally on Google Cloud Platform.

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

• Build and maintain applications using Docker and Kubernetes.

• Oversee reliability through logging, alerting, and observability.

• Assist in troubleshooting, performance enhancement, and incident resolution.

• Exhibit inclusive behaviors and actively manage bias.

• Perform additional assigned tasks.

⛳️ 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 similar engineering roles.

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

• Advanced proficiency in Python programming and expertise in 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 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 methodologies.

• Strong communication, consulting, and stakeholder management capabilities.

• Ability to influence technical teams and executive stakeholders.

🏝️ Benefits

• Competitive salary and benefits package.

• Option for remote work.

• Reasonable accommodations provided during the interview and hiring process.

• Commitment to an equal opportunity and inclusive workplace.

• Salary adjusted based on relevant experience, qualifications, skills, and geographic location.