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, solution 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 using graphs, state machines, and orchestration patterns • Create evaluation frameworks measuring task 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 for autonomous and semi-autonomous systems • Instrument AI applications to inspect traces, intermediate states, failures, and performance • Identify and address hallucinations, looping, brittle tool calls, context loss, prompt injection, non-deterministic behavior, and unsafe actions • Troubleshoot complex 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, solution demonstrations, workshops, and pre-sales conversations • Build trusted client and TribalScale 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, including infrastructure, context, tools, permissions, controls, and feedback mechanisms for reliable AI agents • Experience with agent loops covering planning, tool selection, execution, observation, reflection, recovery, and termination • Familiarity with graph-based orchestration, state machines, and multi-step workflows • Experience designing AI evaluation systems, benchmarks, regression suites, model-graded evaluations, human review, and production monitoring • Understanding of prompts, context management, memory, retrieval, tool use, structured outputs, and model selection trade-offs • 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 ambiguous customer problems to prototypes and secure, maintainable production systems • 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 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 experience with agent frameworks, workflow engines, coding agents, model orchestration, RAG, embeddings, vector search, knowledge graphs, fine-tuning, model routing, AI observability, multi-model systems, AI security, AWS, Azure, Google Cloud, containers, Kubernetes, infrastructure as code, CI/CD, open-source projects, regulated enterprise environments, consulting, solutions engineering, sales engineering, and customer-facing technical roles • Claude Certified Architect certification or equivalent is nice to have

🏖️ Benefícios

• Equal employment opportunity and inclusive workplace culture • Accommodations available for applicants with disabilities • Opportunities to work on high-impact challenges across industries and technology domains • Direct client collaboration and visible impact of decisions • Exploration of emerging AI, agentic systems, product development, and software delivery approaches • Collaboration with multidisciplinary teams • Continuous learning • Ownership, empowerment, meritocracy, and transparency • Opportunity to influence client outcomes and TribalScale’s technical practices

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