Forward Deployed Agile Software Engineer

🔥 7 minutes ago

🇨🇦 Canada – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🧑‍💻 Full-stack Engineer

👻 Ghost score 12%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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TribalScale

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

📦 Logistics

📣 Marketing

Consulting • Logistics • Marketing

TribalScale is a global innovation firm that helps enterprises adapt and thrive in the digital era by leveraging Agile practices. The company specializes in product transformation, design, and venture studio services, building cloud-native software solutions for web, mobile, and emerging technologies. With over 350 projects shipped and a reach of 500 million unique users, TribalScale empowers enterprise teams with capabilities in agile product development and digital transformation. The firm works across various sectors, aiding clients like media networks, automotive manufacturers, and sports organizations to innovate and expand their digital presence.

📋 Description

• 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 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 technology stack, including interfaces, backend services, AI infrastructure, data workflows, and deployment pipelines • Implement safeguards, permissions, approval steps, and fallbacks for autonomous systems • Instrument AI applications for trace inspection, intermediate-state analysis, failure diagnosis, and performance improvement • Identify and address hallucinations, looping, brittle tool calls, context loss, prompt injection, nondeterministic behavior, 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, solution demonstrations, workshops, and pre-sales conversations • Build trusted client relationships, understand operating environments, and deliver working software for meaningful business challenges

🎯 Requirements

• 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 quickly understand unfamiliar systems, technologies, and business domains • 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 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, retrieval-augmented generation, embeddings, vector search, knowledge graphs, fine-tuning, model routing, AI observability, multi-agent systems, AI security, cloud platforms, containers, Kubernetes, infrastructure as code, CI/CD, regulated enterprise environments, consulting, solutions engineering, and product launches • Claude Certified Architect certification or equivalent is nice to have

🏖️ Benefits

• 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