Forward Deployed Agile Software Engineer

🕒 Outubro 14

🇨🇦 Canadá – Remoto

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

🧑‍💻 Engenheiro Full-stack

👻 Score fantasma 13%

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• Aberta há 29 dias.
• Sem salário divulgado.

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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 operational 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 for planning, tool selection, execution, observation, reflection, recovery, and termination • Model complex workflows as graphs, state machines, or 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 evaluations, and evolve successful ideas into secure, scalable products • Integrate solutions with client systems, enterprise data sources, cloud platforms, and third-party services • Contribute across the stack, including interfaces, backend services, AI infrastructure, data workflows, and deployment pipelines • Implement safeguards, permission boundaries, approval steps, and fallbacks • Instrument AI applications to inspect traces, intermediate states, failures, and performance • Identify and address hallucinations, looping, brittle tool calls, context loss, prompt injection, nondeterminism, and unsafe actions • Troubleshoot technical and operational issues in client environments • Communicate technical decisions, risks, trade-offs, and progress to technical and non-technical audiences • Collaborate with product managers, designers, engineers, data specialists, security teams, and client stakeholders • Establish automated testing, documentation, observability, security, and continuous delivery practices • Capture reusable patterns, components, and insights for future engagements • Support technical discovery, demonstrations, workshops, and pre-sales conversations • Build trusted client relationships and contribute working software to meaningful business challenges

🎯 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 to trace decisions, inspect intermediate states, measure quality, and diagnose failures • 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 move from an ambiguous customer problem to a working prototype and production system • Strong product judgment balancing capability, reliability, latency, cost, security, and user experience • Experience collaborating directly with customers, stakeholders, or cross-functional delivery teams • Excellent written and verbal communication skills • Comfort working in fast-moving environments with evolving requirements and technical constraints • High degree of ownership, curiosity, empathy, and bias toward action • 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: AI observability, cloud platforms, containers, Kubernetes, infrastructure as code, CI/CD, and AI security • 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 are encouraged • Equal employment opportunity and accommodations for applicants with disabilities

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