Senior Engineer, AI Platform

Location: Detroit, United States of America; Austin is also listed as a location.

Company

hirify.global is an AI-native, platform-enabled B2B digital agency combining data, technology, creativity, analytics, and AI to deliver customer experience, marketing, media, and digital solutions.

What you will do

• Develop tooling that enables AI agents to support coding, testing, code review, and CI/CD workflows with human oversight.
• Build agent orchestration capabilities, including multi-agent workflows, tool integrations, MCP servers, and approval checkpoints.
• Develop retrieval pipelines, APIs, and data services connecting AI agents to enterprise knowledge sources.
• Implement guardrails, evaluation frameworks, automated testing, and quality controls for secure, auditable, production-ready AI systems.
• Build and operate cloud infrastructure, deployment pipelines, and platform services using infrastructure as code.
• Improve reliability through observability, monitoring, tracing, alerting, incident response, on-call support, architecture reviews, and engineering standards.

Requirements

• 5+ years of professional software engineering experience.
• Experience in integrated marketing, digital agency, marketing services, or consulting environments.
• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
• Experience building and operating production services on AWS, Google Cloud, or Azure, including containers, serverless technologies, managed databases, and infrastructure as code.
• Experience with production operations, including observability, monitoring, logging, tracing, alerting, incident response, and on-call support.
• Hands-on experience building LLM-powered applications or AI agents, including orchestration, tool integrations, context engineering, and MCP.
• Experience with Amazon Bedrock, Google Vertex AI, Azure AI Foundry, or comparable AI platforms.
• Experience with RAG, embeddings, vector databases or vector search, and GraphQL or REST APIs.
• Experience building automated evaluation frameworks, testing LLM outputs, implementing AI guardrails, and integrating AI coding agents into engineering workflows and CI/CD pipelines.
• Strong proficiency in Python, TypeScript, SQL, and Git-based development practices.
• Ability to collaborate across product, engineering, analytics, and delivery teams.

Nice to have

• Experience extending AI-assisted software delivery into coordinated coding, testing, and review workflows.
• Experience building self-service or governed platforms for non-technical users to create and deploy AI agents.
• Experience with graph databases, knowledge graph architectures, managed agent runtimes, or 24x7 multi-region SaaS and disaster recovery environments.
• Working knowledge of supervised fine-tuning, LoRA/PEFT, or preference tuning.
• Experience with Java, Go, or C#.
• Experience supporting enterprise client programs in marketing, technology, data, or customer experience.

Culture & Benefits

• Medical, dental, and vision coverage.
• 401(k) retirement plan, paid holidays, and Flexible Time Off.
• Wellness, financial security, and professional growth programs.
• Equal opportunity workplace with reasonable accommodation available for applicants and employees with disabilities.