Software Engineer- AI/ML Workflows

Job Summary
The Red Hat Ecosystems Engineering group is seeking a Software Engineer in our Boston, MA office.  In this role, you will work with a diverse team of highly motivated engineers on designing, developing, and testing AI/ML software solutions to integrate partner technologies within the Red Hat OpenShift AI ecosystem, ensuring robust and scalable performance. You will also be working closely with product management, other engineering groups within Red Hat, and with Red Hat partners and lighthouse customers.

At Red Hat, our commitment to open source innovation extends beyond our products - it’s embedded in how we work and grow. Red Hatters embrace change – especially in our fast-moving technological landscape – and have a strong growth mindset. That's why we encourage our teams to proactively, thoughtfully, and ethically use AI to simplify their workflows, cut complexity, and boost efficiency. This empowers our associates to focus on higher-impact work, creating smart, more innovative solutions that solve our customers' most pressing challenges.

Are you ready to start developing new solutions that combine open source, hybrid cloud, and AI?

What you will do

• As a software engineer  in this role, you will:

• Design, develop, and maintain high-quality code for AI/ML workflows and pipeline lifecycle management, including pre-processing, model training, evaluation, serving, monitoring etc.

• Deploy AI/ML pipelines on OpenShift AI (RHOAI), ensuring scalability, reliability, and performance.

• Work with upstream AI/ML communities to evaluate new AI/ML-related technologies from partners and create proof-of-concept projects bridging their technology and RHOAI

• Build multi product demos and AI/ML workflows using Predictive and Generative AI leveraging RH product and AI stack

• Collaborate with multiple stakeholders including product teams, subject matter experts, AI/ML partners etc. to adjust their AI strategies, address their specific use cases, and drive value through the adoption of the RHOAI 

What you will bring

• Experience in development in Python or Go

• Proven experience in designing, developing, and debugging complex software systems.

• Understanding of fundamental AI/ML concepts, algorithms, techniques, and implementation of workflows

• Proactively utilize AI-assisted development tools (e.g., GitHub Copilot, Cursor, Claude Code) to learn and adopt new technologies, accelerate development, and ensure code quality.

• Familiarity with DevOps/MLOps practices and tools for managing the AI/ML lifecycle in production environments.

• Open to challenges, a growth mindset, and problem-solving skills.

• Good written and verbal communication skills

The following are considered a plus

• Knowledge of containers/virtualization (OpenShift, Kubernetes, Docker) and cloud platforms (AWS, Azure, Google Cloud) 

• Contributions to open source projects, public projects on GitHub. 

• Innovative application or publications of novel AI/ML concepts, algorithms, or techniques.

• Basic knowledge of data preprocessing, feature engineering, and model evaluation frameworks and libraries

• Professional software development experience; startup experience.

#AI-Hiring

#LI-JC2

The salary range for this position is $104,080.00 - $166,320.00. Actual offer will be based on your qualifications.

Pay Transparency

Red Hat determines compensation based on several factors including but not limited to job location, experience, applicable skills and training, external market value, and internal pay equity. Annual salary is one component of Red Hat’s compensation package. This position may also be eligible for bonus, commission, and/or equity. For positions with Remote-US locations, the actual salary range for the position may differ based on location but will be commensurate with job duties and relevant work experience. 

About Red Hat

Red Hat is the world’s leading provider of enterprise open source software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title