Role Description We are looking for a passionate and skilled AI engineer who is responsible for designing and delivering complex generative AI solutions. This role requires the ability to work autonomously on challenging technical problems, provide mentorship to junior engineers and champion engineering best practices. - Design, build and deploy GenAI applications using techniques such RAG, Agents, Multi Agent Systems etc., taking ideas from prototype to production. - Work with both AI/ML engineers and software engineers to deliver reliable, scalable systems. - Own key features or components, ensuring they are well-structured, efficient and easy to maintain. - Make technical decisions and contribute to system design with attention to performance, cost and reliability. - Collaborate with product managers, designers and data scientists to turn business needs into practical solutions. - Share knowledge and mentor junior team members, helping them grow their technical skills. - Review code and provide clear, constructive feedback to peers. - Understand deployment options and trade offs across different cloud providers such as AWS, Azure, Google Cloud, etc. - Understand optimization techniques to improve accuracy, performance and cost for GenAI applications. Qualifications - Strong software engineering fundamentals, including Python, CI/CD, testing, version control and clean code practices. - Solid grasp of software design principles and ability to design and implement AI-powered components or workflows. - Experience with at least one GenAI framework (e.g., LangChain, LlamaIndex, Semantic Kernel) and one agentic framework (e.g., PydanticAI, LangGraph, AutoGen2). - Hands-on experience building and optimizing Retrieval-Augmented Generation (RAG) pipelines with vector databases (e.g., FAISS, Pinecone, Weaviate). - Familiarity with deploying AI solutions on major cloud platforms (AWS, Azure or GCP), with basic use of containers (Docker) and CI/CD pipelines. - Experience using LLMOps and observability tools (e.g., Langfuse, PromptLayer, OpenTelemetry) in production. - Exposure to fine-tuning and use of ML/NLP frameworks such as PyTorch or Hugging Face Transformers. Requirements - Ability to independently solve complex, ambiguous technical problems. - Willingness and ability to guide and mentor junior engineers, sharing knowledge and best practices. - Strong collaborative skills, working effectively with diverse, cross-functional teams. - Thrives in a dynamic and fast-paced environment, demonstrating resilience in the face of challenges. Benefits - There is no one-size-fits-all career path at Thoughtworks: however you want to develop your career is entirely up to you. - Your career is supported by interactive tools, numerous development programs and teammates who want to help you grow. - We see value in helping each other be our best and that extends to empowering our employees in their career journeys.

Role Description RevTech Engineering builds the tools Elastic's Field teams depend on every day — the conversational experiences, single-pane-of-glass portals, and AI-powered workflows that help sellers, solutions architects, customer success managers, and support teams do their best work. The AI Experiences squad is where those AI capabilities take shape in the UI. We're looking for a Software Engineer II who is as curious about how AI behaves in a product as they are about how to build it. This role isn't about training models or writing pipelines — it's about making AI interactions legible, useful, and trustworthy for the people using them. You'll work closely with a principal software engineer who brings both design and engineering depth, which means you'll have real mentorship and a high bar to grow toward. You'll also be connected to what's happening across Elastic's broader AI and design system work, contributing to consistent surfaces and bringing back patterns that raise the quality of what we ship. What You Will Be Doing - Build AI components for Field-facing experiences. - Develop and iterate on the front end components that surface AI capabilities — tool calling, reasoning traces, generative responses, suggestions — across RevTech's end user experiences. - Lead the user experience of AI interactions. - Partner with the principal engineer and RevOps team members to evaluate whether AI components are working — is the right information surfaced, is the response legible, is tool-calling output helping or overloading the user? - Instrument what you build. - Use OpenTelemetry to instrument AI components so the team has a signal on what's working. Track interaction patterns, identify friction points, and use that data to drive iteration. - Contribute to AI UI consistency. - Stay ahead of how Elastic UI and the broader Elastic AI product surface handle AI components, and apply those patterns in RevTech — or flag where RevTech's needs require something new. - Support the Salesforce LWC surface. - Contribute occasionally to AI component work in Elastic's Salesforce Lightning Web Component environment for AE/SDR workflows. Qualifications - 3+ years of professional React and TypeScript experience. - Genuine interest in how AI should show up in product interfaces. - Instinct to recognize when AI interactions aren't working. Requirements - Comfortable building production-grade components and managing state in complex, data-rich interfaces. - Experience with instrumentation and frontend telemetry — OpenTelemetry familiarity is a plus. - Confidence in distilling a design direction from stakeholders or a low-fidelity wireframe into front end components. - Comfortable working directly with field stakeholders to understand how AI components land in real workflows. Bonus Points - Familiarity with Elastic UI (EUI) or experience working within a mature design system. - Figma or other design tool experience. - Experience building or iterating on AI-specific UI patterns — streaming responses, confidence indicators, tool-calling displays, citation surfaces. Benefits - Competitive pay based on the work you do here and not your previous salary. - Health coverage for you and your family in many locations. - Ability to craft your calendar with flexible locations and schedules for many roles. - Generous number of vacation days each year. - We match up to $2000 (or local currency equivalent) for financial donations and service. - Up to 40 hours each year to use toward volunteer projects you love. - Minimum of 16 weeks of parental leave.

About Gusto At Gusto, we're on a mission to grow the small business economy. We handle the hard stuff — payroll, health insurance, 401(k)s, and HR — so owners can focus on their craft and their customers. With teams in Denver, San Francisco, and New York, we support more than 500,000 small businesses nationwide and are building a workplace that reflects the people we serve. All full-time employees receive competitive base pay, benefits, and equity (RSUs) — because everyone who helps build Gusto should share in its success. Offer amounts are determined by role, level, and location. Learn more about our Total Rewards philosophy. AI is a fundamental part of how work gets done at Gusto. We expect all team members to actively engage with AI tools relevant to their role and grow their fluency as the technology evolves. AI experience requirements vary by role and will be assessed during the interview process. About the Role: As a Staff Engineer on the Developer Productivity - AI Developer Tools team, you will be the architectural anchor shaping the AI platform that accelerates engineering across Gusto. You will redefine how our entire engineering organization builds, tests, and ships software by architecting a highly secure, context-aware, "AI-native" development lifecycle. Your mission is to eliminate developer friction through AI tools, multi-agent systems, and intelligent automation. Whether you are building bespoke internal coding assistants, automating sprawling codebase refactors, or deploying AI to self-heal CI/CD pipelines, your work will directly multiply the velocity of hundreds of builders. Help us drive developer productivity by building the next generation of AI tools. About the Team: The AI Developer Tools team is a specialized team within Developer Productivity. We believe AI is the next great leap in software craftsmanship. Our goal is to provide every builder at Gusto with a suite of "superpowers" tools that deeply understand our codebase and absorb operational toil so engineers can focus on creative problem-solving. We treat our fellow engineers as our primary customers, prioritizing developer experiences that are not just powerful, but absolutely delightful to use. Here’s what you’ll do day-to-day: - Architect AI Core Infrastructure: Design, scale, and maintain the internal platform and APIs that integrate LLMs into the developer workflow, with a heavy focus on autonomous agents, custom retrieval-augmented generation (RAG), and smart context-delivery systems. - Drive Technical Leadership & Vision: Establish engineering best practices for building with AI at Gusto, including robust evaluation frameworks (evals), guardrails for code safety, and strategies for optimizing model latency and token spend. - Collaborate & Evangelize: Partner closely with product engineering teams to uncover systemic friction points, and collaborate with core Infrastructure and Security teams to ensure all AI tooling is scalable, compliant, and secure. - Optimize Feedback Loops: Identify and eliminate critical bottlenecks in the local-to-production lifecycle at scale across Gusto. - Maintain Enterprise Reliability: Treat AI infrastructure with production-grade rigor. Monitor system health, diagnose complex integration or networking issues, and mitigate model drift or downtime. Here’s what we're looking for: - 8+ Years of Systems Expertise: You are a seasoned engineer who is highly comfortable navigating massive, complex codebases and delivering production-grade, distributed software. - Production AI Experience: You have a proven track record of moving AI beyond prototypes. You possess a deep understanding of prompt engineering, fine-tuning, RAG architectures, and orchestrating multi-agent workflows. - Developer-First Mindset: You are passionate about Developer Experience and Productivity. You intuitively understand what makes an internal tool frictionless, fast, and empowering for other engineers. - Strategic Execution: You don't just build wrappers; you think deeply about data privacy, security, cost management, and systemic reliability when deploying AI solutions. - Exceptional Communication: You can seamlessly translate bleeding-edge AI capabilities into clear, actionable infrastructure strategies, mentoring junior engineers and aligning cross-functional stakeholders along the way. - Working as a Team: You work across team boundaries and bring other teams and groups along with you towards our strategic vision. Our cash compensation amount for this role is targeted at $180,000/yr to $200,000/yr in Denver & most remote locations, $220,000/yr to $245,000/yr for San Francisco, New York & Seattle. Stock equity is additional. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above. Gusto has physical office spaces in Denver, San Francisco, and New York City. Employees who are based in those locations will be expected to work from the office on designated days approximately 2-3 days per week (or more depending on role). The same office expectations apply to all Symmetry roles, Gusto's subsidiary, whose physical office is in Scottsdale. Note: The San Francisco office expectations encompass both the San Francisco and San Jose metro areas. When approved to work from a location other than a Gusto office, a secure, reliable, and consistent internet connection is required. This includes non-office days for hybrid employees. Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger. If you share our values and our enthusiasm for small businesses, you will find a home at Gusto. Gusto is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Gusto considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Gusto is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. We want to see our candidates perform to the best of their ability. If you require a medical or religious accommodation at any time throughout your candidate journey, please fill out this form and a member of our team will get in touch with you. Gusto takes security and protection of your personal information very seriously. Please review our Fraudulent Activity Disclaimer. Personal information collected and processed as part of your Gusto application will be subject to Gusto's Applicant Privacy Notice.

Role Description Estamos em busca de um(a) Arquiteto(a) de IA Pleno para atuar na concepção, desenvolvimento e implementação de soluções baseadas em Inteligência Artificial, com foco em IA Generativa, Machine Learning e integração de sistemas. Este profissional participará da definição e evolução de arquiteturas de IA, apoiando a construção de soluções escaláveis, seguras e alinhadas às necessidades do negócio. - Apoiar o desenho e a implementação de arquiteturas de soluções baseadas em Inteligência Artificial e IA Generativa. - Levantar e traduzir requisitos de negócio em soluções técnicas utilizando IA, automação e análise de dados. - Desenvolver e implementar soluções utilizando LLMs, RAG (Retrieval-Augmented Generation), agentes de IA e integrações com sistemas corporativos. - Construir e disponibilizar modelos e serviços de IA por meio de APIs e microsserviços. - Atuar na implementação de soluções em plataformas de IA em nuvem, garantindo desempenho, segurança e governança. - Participar da definição e implementação de arquiteturas de dados para aplicações de IA, incluindo Data Lakes, Data Warehouses e bancos vetoriais. - Apoiar a realização de provas de conceito (PoCs), testes técnicos e avaliações de novas tecnologias. - Aplicar boas práticas de desenvolvimento, governança, segurança e uso responsável da Inteligência Artificial. - Colaborar com equipes multidisciplinares de dados, desenvolvimento e negócios para garantir a integração adequada das soluções. - Apoiar o monitoramento, manutenção e evolução contínua das soluções implantadas utilizando práticas de MLOps. - Produzir documentação técnica, diagramas de arquitetura e especificações funcionais e técnicas. - Participar de reuniões técnicas com clientes e stakeholders para entendimento de necessidades e apresentação de soluções. Qualifications - Experiência em projetos de Inteligência Artificial, Machine Learning e/ou IA Generativa. - Conhecimento em LLMs (Large Language Models), Prompt Engineering, RAG e agentes de IA. - Experiência com plataformas de IA em nuvem, preferencialmente Microsoft Azure (Azure AI, Azure OpenAI, AI Foundry), AWS ou Google Cloud. - Conhecimento em arquitetura de integração, APIs REST e microsserviços. - Experiência com Python e SQL. - Conhecimento em bancos de dados relacionais, Data Lakes, Data Warehouses e bancos vetoriais. - Familiaridade com práticas de MLOps, DevOps, CI/CD e monitoramento de aplicações. - Conhecimento em governança, segurança da informação e privacidade de dados. - Capacidade de compreender requisitos de negócio e transformá-los em soluções técnicas. - Inglês técnico para leitura de documentação e pesquisa. Competências - Pensamento analítico e capacidade de resolução de problemas. - Visão sistêmica para compreender fluxos de dados e integrações complexas. - Boa comunicação verbal e escrita. - Facilidade para trabalhar em equipes multidisciplinares. - Perfil colaborativo e orientado ao compartilhamento de conhecimento. - Proatividade na identificação de melhorias e oportunidades de inovação. - Organização e capacidade de gerenciar múltiplas demandas. - Adaptabilidade frente à evolução constante das tecnologias de IA. - Foco em qualidade, segurança e entrega de valor ao negócio. Diferenciais - Experiência com Azure OpenAI, AI Foundry, Copilot Studio e Power Platform. - Certificações Microsoft, AWS ou Google relacionadas à IA, Dados ou Cloud. - Experiência em projetos de automação inteligente, análise de documentos ou assistentes virtuais. - Conhecimento em frameworks como TensorFlow, PyTorch, LangChain, Semantic Kernel ou similares. - Experiência em projetos na área de saúde, financeiro ou outros setores regulados. - Conhecimento em bancos vetoriais como Azure AI Search, Pinecone, Weaviate ou Chroma. - Participação em comunidades, eventos ou iniciativas relacionadas à Inteligência Artificial.