Forward Deployed Agile Software Engineer

🔥 9 minutes ago

🏛️ District of Columbia, Washington – Remote

🏛️ District of Columbia – Remote ☕ Washington – 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 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

🎯 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 • 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

🏖️ 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