Forward Deployed Agile Software Engineer

🕒 il y a 16 jours

🇺🇸 États-Unis – Télétravail

⏰ 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 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 covering prompts, tools, context, memory, permissions, runtime controls, observability, and feedback • Build and refine agent loops for planning, execution, observation, reflection, recovery, and termination • Model complex workflows using graphs, state machines, and orchestration patterns • Create evaluation frameworks for 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 user interfaces, backend services, AI infrastructure, data workflows, and deployment pipelines • Implement safeguards, permission boundaries, approval steps, and fallbacks for 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 client 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

🎯 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, including infrastructure, context, tools, permissions, controls, and feedback mechanisms for reliable AI agents • Experience with agent loops, including 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, including 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, cloud platforms, containers, Kubernetes, infrastructure as code, CI/CD, open-source projects, regulated enterprise environments, consulting, solutions engineering, sales engineering, and product launches • Claude Certified Architect - Foundations or Professional certification is nice to have

🏖️ Avantages

• Equal opportunity employment and workplace culture • Commitment to diversity, inclusion, and accommodations for applicants • Collaboration with multidisciplinary teams • High-impact challenges across industries and technology domains • Opportunities to explore emerging approaches to AI, agentic systems, product development, and software delivery • Influence over client outcomes and TribalScale’s technical practices • Ownership, empowerment, meritocracy, and transparency-oriented environment • Work directly with clients and see the impact of decisions

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