TalentReach is recruiting an Engineering Lead for a healthcare technology company to lead a cross-functional engineering team while maintaining hands-on development responsibilities. The role focuses on building scalable cloud-based platforms, mentoring engineers, and improving engineering practices. The position requires expertise in Node.js, Python, React, AWS, and modern development practices, with a strong emphasis on both technical leadership and direct code contribution.

OEM Enterprise Sales Director role for an automotive technology company specializing in autonomous and AI-powered systems. This is a quota-carrying position responsible for building and managing strategic relationships with major automotive manufacturers, leading full sales cycles from initial outreach through multi-year production contracts. The role requires 7+ years of enterprise sales experience with deep automotive OEM expertise, strong relationship-building skills, and the ability to navigate complex organizational structures and procurement processes.

TalentReach is recruiting a Software Engineer for a growing technology company to build scalable SaaS products with AI capabilities. The role involves designing backend services, developing full-stack product features, implementing LLM-powered functionality, and collaborating across teams. Requires 5+ years of software engineering experience with expertise in backend/full-stack development, cloud platforms, and AI technologies.

Senior IT Systems Engineer role focused on designing, architecting, and supporting enterprise Product Lifecycle Management (PLM) systems using Siemens Teamcenter. The position requires 10+ years of Teamcenter experience and involves leading PLM initiatives, managing integrations, overseeing implementations and upgrades, and mentoring junior engineers for aerospace and defense programs.

TalentReach is hiring an Applied AI Engineer for an innovative AI-native consumer travel platform. This senior individual contributor role focuses on building sophisticated AI systems including agentic architectures, orchestration frameworks, evaluation pipelines, and safety mechanisms for production environments. The ideal candidate combines strong machine learning expertise with practical engineering skills to translate cutting-edge AI techniques into reliable, scalable consumer-facing products.