• Develop a vision and formulate implementation plans to achieve end goals • Design and implement complex software solutions for APIs, microservices, CI/CD pipelines, and real-time streaming on cloud platforms such as Azure or GCP • Conduct research on emerging technologies, design principles, and development frameworks • Provide technical guidance in software design and development activities • Oversee the lifecycle process—including design, analysis, review, and testing results • Lead the design, development, and optimization of AI/ML models for various use cases • Perform model training, evaluation, and fine-tuning with consideration of constraints and opportunities posed by legacy architectures • Partner with teams across functions and provide expert solutions to multiple complex technical projects/initiatives • Establish and drive execution of technical direction, standards, guidelines, and methodologies • Work to improve existing test automation processes, enhancing efficiency and reducing manual intervention

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.