MaintainX is the world’s leading Asset and Work Intelligence platform for industrial and frontline environments. We are a modern IoT-enabled cloud-based tool for reliability, safety, and operations on physical equipment and facilities. MaintainX powers operational excellence for 10,000+ businesses including Duracell, Univar Solutions Inc., Titan America, McDonald’s, Brenntag, Cintas, Xylem, and Shell.
We’ve raised $104 million in venture capital following a recent Series C funding round led by Bain Capital Ventures, Bessemer Ventures, August Capital, Amity Ventures, Ridge Ventures as well as CEO’s from GE, Twilio, Coupa, Toast and PagerDuty.
We’re looking for a Software Engineer with experience building AI-powered applications leveraging LLMs. You’ll design and deploy intelligent features that integrate with web apps and backend systems. You’ll work closely with product and engineering teams to build scalable, production-ready solutions. This role blends hands-on full-stack development with cutting-edge AI capabilities.

BONUS SKILLS:

• Built multi-modal applications.
• Implemented guardrails and evaluation pipelines for LLM-driven applications.
• Skilled in training, fine-tuning, optimizing, and deploying language models.

ABOUT US:

Our mission is to make the lives of blue-collar workers easier worldwide by creating software that meets their needs and realities. Our product is truly life-changing for that 80% of the workforce who doesn’t work behind a desk and needs enterprise-grade software at their fingertips.
MaintainX is committed to creating a diverse environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status

• Design, develop, and deploy AI-powered applications utilizing LLMs and other models to solve complex business problems.
• Ensure seamless integration of AI models with web applications and backend services.
• Implement and optimize algorithms for performance and scalability, ensuring efficient end-to-end solutions.
• Collaborate with product managers, designers, and engineers to define product requirements and integrate AI capabilities into customer-facing applications.
• Contribute to engineering best practices, including code quality, security, and deployment processes.
• Participate in on-call duties.