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Work at the intersection of high-scale software and real-world AI applications, building features and infrastructure that integrate deeply with large language models (LLMs) and ML systems. Own end-to-end delivery, from building the backend APIs and vector search pipelines, to shaping and optimizing the frontend UI that engineers rely on every day. Build and maintain user-facing features and APIs that integrate LLM and ML capabilities.
Play a critical role in shaping AI-driven workflows that enhance customer support operations. Design, implement, and optimize backend systems and orchestration frameworks, integrating advanced LLMs and AI tools to improve efficiency and automation. Drive innovation in prompt engineering, retrieval-augmented generation (RAG), and AI orchestration, while mentoring team members and setting technical standards.
Lead and scale a high-performing team in designing, building, and deploying cutting-edge Generative AI and machine learning solutions. Define the AI technical strategy, oversee platform development, and deliver AI solutions that drive measurable business impact. Lead a team of AI engineers, data scientists, and platform engineers while fostering a culture of innovation, operational excellence, and ethical AI adoption.
We are seeking a hands-on Engineering leader to build a new product line from the ground up and lead a small team of product engineers working on AI voice & chat agents. You will work closely with our leadership to get this from 0 to 1 in record time, and integrate seamlessly into Found, our operating system for care. You'll report to the CPTO with a dotted line to the GM for product direction.
You’ll be joining our demand generation team whose mission is to build transparent, delightful experiences to demystify the mortgage process, empowering homebuyers to purchase with confidence. The role involves designing, building, and maintaining scalable Python microservices that power Tomo’s platform. You will own backend architecture decisions and contributing to API design and integration patterns across services.
This role involves designing and deploying advanced generative AI solutions across text, image, and video modalities, at the intersection of engineering and AI product development, building scalable pipelines, integrating state-of-the-art models, and optimizing performance and cost in production environments, collaborating closely with product, engineering, and design teams to bring creative and technically complex ideas to life.
Design and build AI-powered agents and automation tools to optimize internal processes, improve decision-making, and enhance employee productivity. Rapidly test and iterate on generative AI applications to solve real business challenges. Partner with business leaders to identify use cases, scope technical requirements, and integrate solutions with internal systems. Use statistical and machine learning techniques to extract insights, model behaviors, and inform strategic recommendations. Measure the impact of deployed AI tools, refine models, and guide the adoption of successful pilots across the organization. Track emerging technologies in generative AI, automation, and data science.
Looking for a highly technical and strategic professional to support the conception, development, and implementation of intelligent agents based on LLM that will act as copilots and autonomous executors in various stages of the software development cycle. Responsibilities include designing and developing intelligent agents based on LLMs for automation and optimization of software engineering processes, defining AI solution architectures, and implementing pipelines of prompt engineering, fine-tuning and RAG.