Forward Deployed Agile Software Engineer

🕒 Outubro 14

🏛️ District of Columbia, Washington – Remoto

🏛️ District of Columbia – Remote ☕ Washington – Remote

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

🧑‍💻 Engenheiro Full-stack

👻 Score fantasma 13%

O que significa: a chance de ninguém estar realmente contratando para esta vaga.Como ler: 60% ou mais significa que achamos que é uma vaga fantasma. Pontuações mais baixas preocupam menos.Como pontuamos: tempo em aberto, republicações, vagas abertas vs tamanho do time, rapidez para fechar vagas, e se o salário está divulgado.Observação: é uma estimativa de dados públicos, não um julgamento da empresa. Vagas reais podem ter pontuação alta, então use como uma dica, não como um fato.

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TribalScale

SiteLinkedInTodas as Vagas

51 - 200 funcionários

💼 Consultoria

📦 Logística

📣 Marketing

Consulting • Logistics • Marketing

A TribalScale é uma empresa global de inovação que ajuda empresas a se adaptar e prosperar na era digital, alavancando práticas Ágeis. A companhia é especializada em transformação de produtos, design e serviços de venture studio, desenvolvendo soluções de software cloud-native para web, mobile e tecnologias emergentes. Com mais de 350 projetos entregues e um alcance de 500 milhões de usuários únicos, a TribalScale capacita equipes corporativas com competências em desenvolvimento ágil de produtos e transformação digital. A empresa atua em diversos setores, ajudando clientes como redes de mídia, fabricantes automotivos e organizações esportivas a inovar e ampliar sua presença digital.

Descrição

• Partner directly with clients to understand objectives, workflows, technical environments, data, and constraints • Translate ambiguous business challenges into technical requirements, architectures, prototypes, and delivery plans • Design and build AI-enabled applications, agentic workflows, developer tools, APIs, data pipelines, and full-stack products • Engineer AI-model harnesses, including prompts, tools, context, memory, permissions, runtime controls, observability, and feedback mechanisms • Build and refine agent loops and graph/state-machine orchestration patterns • Create evaluation frameworks measuring completion, accuracy, reliability, safety, latency, cost, and user value • Develop prototypes and proofs of concept, validate them with users, and evolve successful ideas into secure, scalable products • Integrate solutions with client systems, enterprise data, cloud platforms, and third-party services • Contribute across interfaces, backend services, AI infrastructure, data workflows, and deployment pipelines • Implement safeguards, permissions, approval steps, and fallbacks • Instrument AI applications to inspect traces, intermediate states, failures, and performance • Troubleshoot technical and operational issues in client environments • Communicate technical decisions, risks, trade-offs, and progress • Collaborate with product managers, designers, engineers, data specialists, security teams, and clients • Establish testing, documentation, observability, security, and continuous-delivery practices • Capture reusable patterns and insights • Support technical discovery, demonstrations, workshops, and pre-sales conversations

🎯 Requisitos

• Professional experience building and deploying production-grade software, ideally including AI-powered or agentic systems • Strong proficiency in Python, TypeScript, or another language commonly used to build AI applications, platforms, and developer tooling • Practical understanding of harness engineering • Experience building or working with agent loops • Familiarity with graph-based orchestration, state machines, and multi-step workflows • Experience designing evaluation systems for AI applications • Understanding of prompts, context management, memory, retrieval, tool use, structured outputs, and model selection • Experience instrumenting AI systems • Strong knowledge of APIs, distributed systems, databases, cloud infrastructure, and modern software-development practices • Ability to understand unfamiliar systems, technologies, and business domains quickly • Ability to turn ambiguous customer problems into prototypes and secure production systems • Strong product judgment • Experience collaborating directly with customers, stakeholders, or cross-functional delivery teams • Excellent written and verbal communication skills • Comfort working in fast-moving environments • Ability to travel occasionally for client workshops or on-site delivery • Nice-to-have: agent frameworks, workflow engines, coding agents, or custom model-orchestration systems • Nice-to-have: retrieval-augmented generation, embeddings, vector search, knowledge graphs, fine-tuning, and model-routing strategies • Nice-to-have: AWS, Microsoft Azure, or Google Cloud • Nice-to-have: containers, Kubernetes, infrastructure as code, and CI/CD tooling • Nice-to-have: Claude Certified Architect certification or equivalent

🏖️ Benefícios

• Work on high-impact challenges across industries and technology domains • Build real products and production systems—not just recommendations or presentations • Work directly with clients and see the impact of your decisions • Explore emerging approaches to AI, agentic systems, product development, and software delivery • Collaborate with multidisciplinary teams that value experimentation and continuous learning • Influence both client outcomes and TribalScale’s evolving technical practices • Ownership, diverse perspectives, and thoughtful innovation encouraged • Equal employment opportunity and workplace accommodations

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