Advanced Software Engineer (AI)

Location: Illinois, United States; hybrid/remote

Salary: $103,000–$155,000 annually, plus annual performance bonus and long-term incentives.

Company

hirify.global builds hirify.globalOne, an AI-powered cloud platform for legal data intelligence, litigation, investigations, regulatory inquiries, and other high-stakes legal work.

What you will do

• Build and operate the Case Strategy and hirify.global aiR products at production scale using object-oriented design, SOLID principles, design patterns, and multiple languages.
• Take AI prototypes and notebooks from Applied Science through deployment, monitoring, CI/CD, and production support.
• Instrument models and prompts, build dashboards and alerts, and maintain evaluation harnesses and regression checks for quality, latency, cost, and reliability.
• Diagnose drift, latency regressions, cost increases, tool-call and retrieval errors, and data-quality effects on outputs.
• Build reproducible data pipelines with lineage and automated data-quality monitoring, while documenting implementation trade-offs and non-functional requirements.
• Improve performance, troubleshoot defects and client-specific issues, protect customer data, and collaborate with Applied Scientists, Product, AI Platform, and engineering teams.

Requirements

• 3+ years of professional software development experience using C# and Microsoft SQL Server or related object-oriented languages.
• Experience building web applications with JavaScript and ASP.NET, scalable cloud solutions on Azure or another cloud platform, and software in an agile team.
• Experience with CI/CD and DevOps principles.
• 1+ year building or operating AI/ML systems or related data pipelines, including LLM integrations, prompt design, retrieval-augmented generation, or embeddings.
• Experience deploying and monitoring models or LLM-based services in a cloud environment, reading evaluation results, diagnosing model failure modes, and balancing quality, latency, and cost.
• Experience building reproducible data pipelines with orchestration tools such as Prefect or Airflow.
• Working knowledge of Python alongside C# and regular use of AI-assisted development tools with the judgment to verify their output.
• Ability to design and document system components, including non-functional requirements, and collaborate effectively with scientists, engineers, and product partners.

Nice to have

• Experience with AI evaluation harnesses, regression suites, LLM output quality evaluation, LLM orchestration, agent frameworks, agentic workflows, or tool calling.
• Experience with large-scale or sensitive data, Azure DevOps, Azure AI and data services, Docker, Kubernetes, Helm, or infrastructure as code.
• Experience with MLflow, Kubeflow, Apache Spark, Kafka, PyTorch, TensorFlow, Keras, or NLP.
• Bachelor's or advanced degree in Computer Science, Computer Engineering, Mathematics, Statistics, or Artificial Intelligence.

Culture & Benefits

• Continuous delivery, strong observability, and end-to-end engineering ownership.
• Exposure across distributed systems and AI-enabled workflows, with mentoring and collaboration across disciplines.
• Health and retirement programs, wellness resources, discretionary time off, parental leave, and two annual company breaks.
• Home office stipend, equity program, volunteer opportunities, and company-sponsored charitable programs.