Role Description As a Lead Full Stack Web and AI Software Engineer at Bravo17, you will elevate the software solutions for federal agencies and the Department of Defense. This requires a deep understanding of agency missions, diverse user needs, and relevant policies, alongside standard industry responsibilities and qualifications. We are seeking a highly skilled and passionate Lead Full Stack Web and AI Software Engineer with over 8 years of experience to join our expanding team. In this pivotal role, you will: - Lead technology implementation. - Translate user needs into intuitive and effective software. - Develop and prototype web and AI solutions. - Collaborate with cross-functional teams to deliver exceptional user-centered products for federal agencies. Qualifications - Minimum of 8 years of practical experience in software development. - Strong background in software engineering projects, emphasizing transactional, interactive, or data-intensive applications, with a focus on AI and cloud computing solutions. - Thorough understanding of service design patterns such as REST, microservices, and monolithic architectures. - Proficiency in transforming Figma designs into user interfaces (e.g., React, Angular). - Excellent communication, presentation, and interpersonal skills. - Demonstrated capability to lead technology projects, operate autonomously, or collaborate effectively within a team environment. - Strong problem-solving and analytical skills with business acumen. - A Bachelor's or Master's degree in Computer Science or a related field is preferred, but deep experience can serve as a substitute. Requirements - Define and maintain technical standards and best practices. - Stay current with industry trends, evaluating and recommending new technologies and tools. - Collaborate with design, project management, and stakeholders to translate UX designs & business requirements into technical designs. - Develop comprehensive technical documentation. - Design and develop intuitive, responsive user interfaces. - Architect and implement secure, high-performance backend services and APIs. - Integrate AI/ML models into web applications. - Mentor junior engineers and provide technical guidance. - Conduct code reviews to ensure code quality. - Troubleshoot and debug complex issues across the full stack. - Stay current with emerging technologies and industry trends. Benefits - Competitive compensation. - Health and welfare benefits. - Flexible ways of working. - Generous time off policies including vacation/PTO, sick leave, and parental leave. Company Description Bravo17 is a growing federal digital services firm. We operate with high accountability, lean teams, and a strong sense of ownership. This role requires comfort with ambiguity, initiative, and a bias toward action.

Role Description onX is seeking a Staff Software Engineer who will contribute to meaningful, real-world outcomes that have a lasting impact for customers and the business. In this role, you’ll focus on the design, development, and scaling of our core AI/ML platforms and product-facing services as part of the AI Foundations Team, supporting the integration of cutting-edge artificial intelligence solutions across onX's product lines. You’ll take ownership of your work, collaborate closely with partners across the organization, and help move initiatives forward in an environment where priorities evolve, learning is celebrated, and you’re encouraged to keep stretching your skills. This role will report to the Director of Engineering. Qualifications - Bachelor’s degree in Computer Science, Data Science, or a related technical field, or equivalent experience. - 10+ years of professional software engineering experience, with at least 3 years focused on building and scaling production AI/ML systems. - Expertise in building scalable backend systems. - Deep knowledge of MLOps practices, cloud infrastructure (AWS/GCP/Azure), and CI/CD pipelines for machine learning models. - Experience with modern AI technologies, including Large Language Models (LLMs) and their various architectures. - A strong curiosity for exploring new technologies, including AI. - A shared passion for and ability to demonstrate onX’s Company Values. - Permanent US work authorization is a condition of employment with onX. Requirements - Work on the design, development, and deployment of large-scale AI systems and services, including models, pipelines, product experiences, and infrastructure. - Help drive the technical strategy and roadmap for AI feature development, focusing on scalability, repeatability, reliability, and performance. - Mentor and guide other engineers in best practices and productionizing AI technologies. - Collaborate with Product and Data Science teams to translate business problems into technical requirements and deliver high-impact AI solutions. - Look for opportunities to embed AI as a repeatable mechanism in daily workflows by integrating experimentation into real work. - Be a leader in AI safety, ensuring AI-enabled products are aligned with our values and mission. Benefits - Competitive salaries, annual bonuses, equity, and opportunities for growth. - Comprehensive health benefits, including a no-monthly-cost medical plan. - Paid parental leave of 13 weeks for birthing parents and 5 weeks for non-birthing parents. - 401k matching at 100% for the first 3% you save and 50% from 3-5%. - Company-wide outdoor adventures and amazing outdoor industry perks. - Annual “Get Out, Get Active” funds to fuel your active lifestyle. - Flexible time away package that includes PTO, STO, VTO, and paid holidays. Company Description onX is a distributed company with more than 400 employees across the country. We come together regularly to work in person and stay connected through regional basecamps and a culture that balances individual ownership with deep collaboration. While we move quickly, we’re not a scrappy start-up. We operate with clear goals, structure, and frameworks that guide how we prioritize and execute. Clear priorities and structure don’t limit ownership - they make it possible. You’ll have the autonomy to define your work and make meaningful decisions within clear strategic boundaries.

• Building AI Agents and AI-powered automations • Participating in the creation of MVPs and POCs, with a focus on learning and delivery • Integrating systems via APIs and designing automations (e.g., n8n) • Using AI tools (Claude, Codex, etc.) in development • Developing applications using TypeScript and/or Flutter • Staying up to date on new tools, trends, and best practices in AI • Collaborating with the team on the continuous evolution of solutions

Role Description Nosso propósito é criar tecnologias que desafiam as melhores do mundo e mudam o jogo para nossos clientes. Por isso, buscamos profissionais que desejam fazer parte de uma cultura pautada pela excelência e inovação. Se você se identifica com um ambiente de trabalho colaborativo e movido por curiosidade, venha construir o futuro da tecnologia conosco. Sua missão será atuar na Aceleradora de IA, sendo protagonista na estratégia e evolução de soluções de Inteligência Artificial, liderando desde a arquitetura em nuvem até sistemas complexos de agentes/multiagentes. Seu papel será fundamental para acelerar a jornada de desenvolvimento no Itaú, entregando experiências digitais completas, seguras e governadas, influenciando decisões de alto impacto, definindo diretrizes técnicas e mensurando valor para escalar a inovação com governança. O que você fará por aqui: - Ser referência técnica em IA/ML e arquitetura AWS, influenciando padrões e decisões em toda a companhia. - Definir visão técnica e roadmap das soluções de IA/ML, priorizando impacto, risco e viabilidade em alinhamento com stakeholders-chave. - Desenhar e implementar arquiteturas avançadas em AWS (infraestrutura, segurança, escalabilidade e serviços gerenciados como Amazon Bedrock e SageMaker). - Evoluir arquiteturas de agentes/multiagentes (orquestração, memória, ferramentas, guardrails e segurança), equilibrando custo, latência e qualidade. - Implementar pipelines de dados e ML (treinamento, avaliação, inferência) com foco em confiabilidade, performance e observabilidade. - Garantir engenharia orientada por especificações claras e valor de negócio. - Conduzir análises de trade-offs e decisões de arquitetura (build vs. buy, plataforma vs. serviço), com visão de FinOps e escalabilidade. - Traduzir conceitos técnicos complexos para stakeholders de negócios e executivos. - Inspirar e mentorar times multidisciplinares, promovendo um ambiente colaborativo. Qualifications - Experiência sólida em arquitetura AWS (infraestrutura, segurança, escalabilidade e serviços gerenciados de AI/ML). - Domínio prático na construção de sistemas de agentes utilizando frameworks como LangChain, LlamaIndex, AutoGen ou CrewAI. - Proficiência em técnicas avançadas de engenharia de IA: Harvest Engineering, Engenharia de Contexto (Skills e Agents) e automação de fluxos com Agentes de Desenvolvimento. - Proficiência em ferramentas de produtividade assistida por IA (DevIn, GitHub Copilot, Claude Code e outras soluções emergentes). - Experiência em GenAI, LLMs e implementação de pipelines RAG (Retrieval-Augmented Generation) em escala corporativa. - Vivência sólida em Spec-Driven Development (SDD), boas práticas de codificação, CI/CD, testes automatizados e observabilidade de modelos em produção. - Conhecimento avançado em MLOps/LLMOps, experiment tracking, model registry, monitoramento e detecção de drift. Requirements - Conhecimento em Azure AI Services e OpenAI no ecossistema Microsoft. Benefits - Modelo de trabalho remoto por padrão, priorizando a sua liberdade e responsabilidade. - Carreira. - Liberdade para trabalhar de onde quiser. - Horários flexíveis. - Auxílio Educação. - Ferramenta própria de desenvolvimento de carreira. - Guildas internas e grupos de estudo e interesse. - Saúde e bem-estar. - Plano de saúde. - Plano odontológico. - Parceria na compra de medicamentos. - Telemedicina disponível 24x7. - Terapia online gratuita. - Wellhub. - Licença maternidade estendida. - Licença paternidade estendida. - CAZ – Central de Atendimento a zuppers. - Conforto financeiro. - Vale-refeição e alimentação. - Seguro de vida. - Vale-transporte. - Auxílio home office. - Auxílio Creche. - Auxílio plano telefônico. - Participação em Lucros e Resultados.