• 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.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description This role focuses on developing and optimizing compilers for high-performance deep learning workloads on modern GPU architectures. You will design, implement, and tune advanced compiler optimization algorithms to accelerate training and inference for deep learning frameworks at scale. The position involves collaborating with framework teams, hardware engineers, and cross-functional partners to deliver production-grade software that powers next-generation AI systems. This role combines deep technical expertise, creativity, and autonomy in a dynamic, research-driven environment with significant impact on AI computing performance. - Develop compiler optimization techniques for deep learning network graphs - Design and implement graph partitioning and tensor sharding for distributed training and inference - Optimize performance and analyze computational efficiency on GPU hardware - Generate code for NVIDIA GPU backends using MLIR, LLVM, OpenAI Triton, or similar compilers - Contribute to user-facing features in deep learning frameworks and related libraries - Collaborate with GPU hardware teams to align software features with next-generation architectures - Mentor junior engineers and support knowledge sharing within the team Qualifications - Bachelor’s, Master’s, or Ph.D. in Computer Science, Computer Engineering, or related field, or equivalent experience - 4+ years of experience in performance analysis, compiler optimization, or deep learning software development - Strong C/C++ programming skills with expertise in software design, debugging, and testing - Knowledge of CPU, GPU, or other high-performance hardware architectures, including distributed computing - Experience with CUDA or OpenCL is desirable - Familiarity with XLA, TVM, MLIR, LLVM, OpenAI Triton, or deep learning frameworks such as JAX, PyTorch, or TensorFlow is a strong plus - Ability to work independently, define project scope, and deliver high-quality software - Excellent communication and collaboration skills; experience mentoring junior engineers is a bonus Benefits - Competitive salary range ($152,000—$241,500 USD) - Eligibility for equity, bonuses, and comprehensive benefits packages - Remote work eligibility with flexibility depending on location - Opportunities for professional growth, mentorship, and career development - Dynamic, research-driven environment working on cutting-edge AI technology - Inclusive, diverse, and collaborative workplace culture