Sr. Software Engineer - AI Engineering and Productivity

Location: Hybrid, with reporting to a specific location at least 3 times per week; positions are available in Austin, Texas or Warren, Michigan.

Company

hirify.global develops automotive products and technologies focused on safer, more sustainable, and less congested mobility.

What you will do

• Design, develop, and maintain data-driven and AI-enabled applications and services for Product Development engineering teams.
• Build performant SQL queries, functions, stored procedures, data models, and Databricks pipelines for batch and near-real-time processing.
• Develop reusable backend services and APIs using Java and/or Python, integrating data, business rules, and user workflows.
• Productionize AI/ML and LLM-based solutions with data pipelines, inference integrations, monitoring, and continuous improvement.
• Lead solution design and apply engineering practices including automated testing, CI/CD, observability, secure coding, and Agile delivery.
• Troubleshoot production issues, document solutions, and mentor engineers across SQL, Databricks, cloud, and AI technologies.

Requirements

• Bachelor’s degree in Computer Science, Software Engineering, Information Systems, Engineering, or a related field, or equivalent experience.
• 6+ years of experience delivering enterprise or full-stack software solutions with Java/JEE and Python; Angular experience is preferred.
• 3+ years of experience with complex SQL, performance tuning, data pipelines, ETL/ELT, Databricks or Spark, and large datasets.
• 3+ years of experience with Kubernetes/Docker, Quarkus, and cloud platforms such as Azure, AWS, or GCP.
• Experience with Agile/SCRUM, Git/GitHub, code reviews, automated testing, CI/CD pipelines, and modern DevOps practices.
• Immigration sponsorship is not available, and candidates must already have the required U.S. work authorization.

Nice to have

• Master’s degree in a relevant technical field.
• 10+ years of experience with enterprise-grade, globally scalable, data-intensive, or analytics-focused applications.
• Deep Databricks and Spark experience, including Delta tables, notebooks, jobs, and workflows.
• Experience with cloud migrations, AI/ML and LLM integrations, MLOps, data governance, observability, and reliability engineering.
• Experience influencing technical direction and mentoring less experienced engineers.

Culture & Benefits

• Hybrid work arrangement with regular in-person collaboration.
• Relocation benefits are available for candidates who qualify under company policy.
• Employment benefits support employee well-being at work and at home.
• Inclusive workplace focused on belonging, equal opportunity, and professional development.

Hiring process

• Applicants may be required to complete role-related assessments and pre-employment screening.