Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy. We help restaurants streamline operations, increase revenue, and deliver amazing guest experiences through our platform that combines restaurant point of sale, team management, guest-facing technology, and award-winning customer support. As a Toaster, you will be challenged to take on meaningful projects to help craft the company's future. Join us as we empower the restaurant community to delight guests, do what they love, and thrive. We're looking for a Staff Software Engineer to join in building AI agents for Toast's Team area, which is part of the Fintech line of business. The Team area is a mission-critical space on which our restaurants rely to manage their staff and optimize their labor. You'll play a key roll* in the design, development, and delivery of autonomous agents that transform how restaurant owners manage their workforce, blending cutting-edge AI with practical restaurant operations. A day in the life (Responsibilities) - Be hands-on in developing and shipping Team Agent products that leverage LLMs and agentic frameworks - Flex your full-stack development muscles with challenging end-to-end tasks in a supportive, collaborative team environment - Partner with product managers, designers, and fellow engineers to build autonomous agents that transform restaurant workforce management - Participate in designing, estimating, implementing, testing, and debugging end-to-end agent solutions - Adopt and advocate for bleeding-edge spec-driven development and agentic development practices - Mentor developers through code-pairing and detailed code, architecture, and project reviews - Champion best practices for agent development, deployment, and quality life cycles - Actively contribute to product design and feature selection discussions for the Team Agent space What you'll need to thrive (Requirements) - Strong foundation in Java, Kotlin or other object oriented language(s) - Experience with modern web standards and technologies (e.g. React, TypeScript, REST, GraphQL) - Experience or strong interest in using coding agents and adopting agentic development practices - Passion for building autonomous agents and working with LLMs - A proven track record of building partnerships across engineering, product, customer success, and other stakeholders - Experience and interest in mentoring peers - Experience maintaining a high bar for quality, and guiding teams to hold a high bar for the technical quality of their deliverables. - Strong customer empathy and a drive to make their lives better through a thoughtful user experience, robust technical solutions, and continuous product improvement Special Sauce* (Nonessential Ingredients) - Experience designing agentic products - Experience building systems that leverage LLMs and other ML models - Experience with event-driven distributed systems - Solid understanding of workforce management - Solid understanding of restaurant operations #LI-REMOTE #BI-Remote AI at Toast At Toast, one of our company values is that we're hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it’s a core part of our culture. Our Total Rewards Philosophy We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters’ changing needs. Learn more about our benefits at https://careers.toasttab.com/toast-benefits. How Toast Uses AI in its Hiring Process Throughout the hiring process, our goal is to get to know you. We use AI tools to support our recruiters and interviewers with tasks like note-taking, summarization, and documentation of interviews to ensure they can be fully focused on your conversation. All hiring decisions are made by people. To learn more: https://careers.toasttab.com/ai-in-hiring Our Approach to Hybrid Working We embrace a hybrid work model that fosters in-person collaboration while valuing individual needs. Our goal is to build a strong culture of connection as we work together to empower the hospitality community, regardless of location. Please visit the Locations page on our career site to learn more about our in-office expectations by region: https://careers.toasttab.com/locations-toast Diversity, Equity, and Inclusion is Baked into our Recipe for Success At Toast, our employees are our secret ingredient—when they thrive, we thrive. The restaurant industry is one of the most diverse, and we embrace that diversity with authenticity, inclusivity, respect, and humility. By embedding these principles into our culture and design, we create equitable opportunities for all and raise the bar in delivering exceptional experiences. We Thrive Together We embrace a hybrid work model that fosters in-person collaboration while valuing individual needs. Our goal is to build a strong culture of connection as we work together to empower the restaurant community. To learn more about how we work globally and regionally, check out: https://careers.toasttab.com/locations-toast. Apply today! Toast is committed to creating an accessible and inclusive hiring process. As part of this commitment, we strive to provide reasonable accommodations for persons with disabilities to enable them to access the hiring process. If you need an accommodation to access the job application or interview process, please contact candidateaccommodations@toasttab.com. ------ For roles in the United States, it is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

• The GenAI Platform team at Grupo Boticário advances Agentes GB and the corporate generative AI ecosystem, enabling business areas to create and operate AI agents with governance, security, and controlled costs. • Design and implement agentive solutions in a corporate environment — orchestration of LLMs, reasoning flows, use of external tools, and integration with company APIs and data. • Design Retrieval-Augmented Generation (RAG) pipelines with indexing, retrieval, and context enrichment to increase accuracy and reduce hallucinations. • Enhance agents' ability to query knowledge bases, analytical data, and corporate systems with appropriate authentication and access control. • Ensure observability, inference cost management, model versioning, and security in cloud-based LLM applications. • Contribute to Agentes GB, context hubs for models, and internal SDKs; support consumer squads in adopting self-service agents. • Serve as a technical reference for 1 to 3 developers — architectural decisions, code reviews, mentorship, and alignment with management and product.

• Architect & Build AI Features: Design and implement robust classical ML and generative AI solutions, striking the right balance between autonomous agentic architectures and deterministic pipelines. • Evaluate: Design and maintain evaluation frameworks to measure AI quality, reliability, safety, and business impact before and after deployment. • Integrate & Deploy: Partner closely with full-stack developers and DevOps to seamlessly integrate AI capabilities into client web and mobile applications using serverless architecture (e.g., AWS Lambda) or API endpoints. • Optimize for Production: Refine prompts, system instructions, and chunking strategies to balance accuracy, latency, token consumption, and data privacy. • Traditional Predictive Analytics: Clean and process unstructured or historical client data to train/fine-tune custom algorithms for specific business problems (such as forecasting, classification, or anomaly detection). • Collaborate & Communicate: Actively participate in client discovery sessions, translate ambiguous business requirements into viable technical scopes, and demo prototypes directly to stakeholder teams. • Maintain Engineering Excellence: Engage in constructive code reviews, implement rigorous validation patterns to test AI outputs, and contribute templates or runbooks to our internal AI knowledge base.

Role Description As a Lead AI Engineer at Kainos, you will architect, design, and deliver advanced AI solutions leveraging state-of-the-art machine learning, generative and agentic AI technologies. Your responsibilities include: - Driving the adoption of modern AI frameworks, AI Ops best practices, and scalable cloud-native architectures. - Providing hands-on technical leadership and collaborating with customers to translate business challenges into trustworthy AI solutions. - Ensuring responsible AI practices throughout the development process. - Fostering a culture of innovation, continuous learning, and engineering excellence as a technical mentor. - Managing, coaching, and developing a small number of staff, focusing on employee performance and career development. - Providing direction and leadership for your team to solve challenging problems together. Qualifications - A minimum of a 2.1 degree in Computer Science, AI, Data Science, Statistics, or a similar quantitative field. - Demonstrable experience of deploying modern AI/ML solutions into production, including prompt engineering, retrieval-augmented generation (RAG), model evaluation, and monitoring using metrics (e.g., precision, recall, NDCG, and drift detection). - Strong Python skills with a grounding in software engineering best practices (CI/CD, testing, code reviews, etc.). - Experience developing solutions at scale on cloud platforms (Azure & AWS), containerization, and orchestration tools such as Kubernetes and Docker. - Expertise in data engineering for AI: handling large-scale, unstructured, and multimodal data. - Understanding of responsible AI principles, model interpretability, and ethical considerations. - Strong interpersonal skills with the ability to lead client projects and establish requirements in non-technical language. - Experience in managing, coaching, and developing junior members of a team and wider community. Requirements - Demonstrable experience with modern deep learning frameworks (e.g., PyTorch, TensorFlow), fine-tuning or distillation of LLMs (e.g., GPT, Llama, Claude, Gemini), machine learning libraries (e.g., scikit-learn, XGBoost). - Experience with data storage for AI, vector databases, semantic search, and knowledge graphs. - Contributions to open-source AI projects or research publications. - Familiarity with AI security, privacy, and compliance standards (e.g., ISO42001). Benefits - People-first culture where your ideas are valued and growth is supported. - Opportunity to be part of a diverse, ambitious team that celebrates creativity and collaboration.