Forward Deployed Agile Software Engineer

🔥 1 minute ago

🇺🇸 United States – 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 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

🎯 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, 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

🏖️ Benefits

• 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