This role is for one of our clients Compensation: $0-$100 per hour Location: Remote (must have access to a physical Mac) Fluent Language Skills Required: English We are supporting a high-priority data collection initiative designed to improve how AI systems interpret complex software interfaces and real-world, multi-step professional workflows. Current datasets often lack the precision and expert grounding required to reflect authentic usage of advanced scientific and analytical tools. This project addresses that gap by collecting high-quality screen recordings and detailed interface annotations from experienced professionals working in live digital environments.

• Oversee the design, development, and deployment of AI features within Chamberlain products such as: Video-based search using LLMs, Chatbot interfaces for search and AI-generated insight, backend pipelines and APIs for AI feature delivery. • Architect and build agentic AI systems using LLMs, RAG, MCP, tool integration, and orchestration frameworks. • Design role-based architectures where agents collaborate through coordination protocols and memory management. • Build, test, and optimize pipelines using tools such as LangChain, LangGraph, and CAMEL. • Develop systems for agent reasoning, planning, and long-term memory retrieval to enable contextual conversations and task execution. • Work across product, engineering, and AI research teams to ensure scalable and performant deployment of assistants. • Drive decision-making around tooling, infrastructure, observability, and production-readiness. • Mentor engineers across the org in AI-native engineering patterns, architecture, and LLM ecosystem evolution. • Ensure end-to-end delivery across frontend, backend, and ML components, and drive code quality, scalability, and maintainability best practices. • Act as the technical voice in roadmap discussions and sprint planning. • Define engineering workflows, coding standards, and agile practices. • Track and improve delivery velocity, quality metrics, and GenAI tool adoption.

This role is for one of the Weekday's clients Min Experience: 10 years Location: USA JobType: full-time As a Lead Engineer, you will play a pivotal role in architecting and delivering complex stream-processing solutions, mentoring engineering teams, and collaborating closely with cross-functional stakeholders to translate business requirements into robust technical systems.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Software Engineer - REMOTE. As a vital member of our team, you will design, develop, and maintain complex software systems. Your leadership in agile teams will be crucial in mentoring junior engineers and ensuring the delivery of top-notch software solutions. Your role will have a significant impact on shaping the software architecture and enhancing our development processes. Collaboration with stakeholders will be key to ensuring successful project outcomes. - Write high-quality code for complex scenarios with good test coverage. - Review and translate product requirements into robust designs for high-quality distributed application systems. - Lead design and code reviews to ensure adherence to best practices and quality standards. - Guide the sprint team to deliver new or improved features while addressing impediments. - Collaborate with teams and stakeholders for successful delivery. - Mentor and provide technical guidance to team members, fostering innovation. Qualifications - Bachelor’s Degree in Computer Science, Information Systems, or related fields. - 5+ years of software programming experience, with at least 2 years in relevant technologies. - Experience in leading and mentoring engineering teams. - Proficient in Java, Python, Go, C++, or JavaScript and knowledgeable in various data structures, algorithms, and design patterns. - Experienced in REST and gRPC APIs, and familiar with message queuing and data streaming technologies. - Knowledge of microservices architecture and containerization technologies (Docker, Kubernetes). - Strong problem-solving, communication, and leadership skills. Benefits - Competitive compensation. - Flexibility to work from anywhere in the United States. - Paid time off including vacation, sick leave, and holidays. - Incentive bonus programs (holiday, referral, performance-based). - Medical, dental, vision, life, and pet insurance. - 401(k) retirement savings plan with company match. - Engaging work environment with promotional opportunities. - Education assistance and professional development opportunities. - Health and wellbeing resources including free mental wellbeing therapy and coaching.