Forward Deployed Agile Software Engineer

🕒 il y a 16 jours

🏛️ District of Columbia, Washington – Distant

🏛️ District of Columbia – Remote ☕ Washington – Remote

⏰ Temps Plein

🟡 Intermédiaire

🟠 Senior

🧑‍💻 Développeur Full-Stack

👻 Score fantôme 13%

Ce que ça veut dire : la probabilité que personne ne recrute vraiment pour cette offre.Comment le lire : 60 % ou plus, on pense que c'est une offre fantôme. Un score plus bas est moins inquiétant.Comment on la calcule : ancienneté, republications, postes ouverts vs taille de l'équipe, rapidité de clôture, et si le salaire est indiqué.À noter : une estimation à partir de données publiques, pas un jugement sur l'entreprise. De vraies offres peuvent avoir un score élevé, alors prenez-le comme un indice, pas comme un fait.

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TribalScale

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51 - 200 employés

💼 Conseil

📦 Logistique

📣 Marketing

Consulting • Logistics • Marketing

TribalScale est une entreprise d'innovation mondiale qui aide les entreprises à s'adapter et prospérer à l'ère numérique en s'appuyant sur les pratiques Agile. L'entreprise est spécialisée dans la transformation de produits, le design, et les services de venture studio, en construisant des solutions logicielles cloud-native pour le web, le mobile et les technologies émergentes. Avec plus de 350 projets livrés et une portée de 500 millions d'utilisateurs uniques, TribalScale renforce les équipes d'entreprise avec des capacités de développement de produits agile et de transformation numérique. La société opère dans divers secteurs, aidant des clients tels que des réseaux médiatiques, des fabricants automobiles et des organisations sportives à innover et élargir leur présence numérique.

Description

• 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

🎯 Exigences

• 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

🏖️ Avantages

• 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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