
Forward Deployed Agile Software Engineer
Posted Oct 15

Posted Oct 15
This is a fully remote position, open to applicants in United States.
• Collaborate closely with clients to grasp their objectives, workflows, technical environments, data, and operational limitations.
• Convert unclear business challenges into clear technical requirements, solution architectures, prototypes, and delivery strategies.
• Create and develop AI-enabled applications, agentic workflows, developer tools, APIs, data pipelines, and comprehensive full-stack products.
• Design AI-model harnesses that encompass prompts, tools, context, memory, permissions, runtime controls, observability, and feedback.
• Develop and enhance agent loops for planning, execution, observation, reflection, recovery, and termination.
• Represent complex workflows using graphs, state machines, and orchestration patterns.
• Construct evaluation frameworks for task completion, accuracy, reliability, safety, latency, cost, and user value.
• Create prototypes and proofs of concept, validate them through user feedback and evaluations, and transform successful concepts 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 analyze traces, intermediate states, failures, and performance.
• Identify and resolve hallucinations, looping, fragile tool calls, context loss, prompt injection, non-deterministic behavior, and unsafe actions.
• Troubleshoot intricate technical and operational issues in client environments.
• Communicate technical decisions, risks, trade-offs, and progress to both technical and non-technical stakeholders.
• Work in collaboration 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 discussions.
• Build trustworthy relationships with clients and TribalScale while contributing working software to meaningful business challenges.
• Professional experience in building and deploying production-grade software, ideally including AI-powered or agentic systems.
• Strong expertise in Python, TypeScript, or another language commonly employed to develop AI applications, platforms, and developer tooling.
• Practical knowledge of harness engineering, covering 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 in designing AI evaluation systems, including benchmarks, regression suites, model-graded evaluations, human review, and production monitoring.
• Understanding of prompts, context management, memory, retrieval, tool usage, structured outputs, and model selection trade-offs.
• Experience in instrumenting AI systems to trace decisions, inspect intermediate states, measure quality, and diagnose failures.
• Solid understanding of APIs, distributed systems, databases, cloud infrastructure, and contemporary software development practices.
• Ability to rapidly comprehend unfamiliar systems, technologies, and business domains.
• Capability to transition from ambiguous customer problems to prototypes and secure, maintainable production systems.
• Strong product judgment balancing capability, reliability, latency, cost, security, and user experience.
• Experience working directly with customers, stakeholders, or cross-functional delivery teams.
• Excellent written and verbal communication abilities.
• Comfort in fast-paced environments with changing requirements and constraints.
• High degree of ownership, curiosity, empathy, and a proactive approach.
• Willingness to travel occasionally for client workshops or on-site delivery.
• Preferred 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 a plus.
• Equal opportunity employment and a supportive workplace culture.
• A commitment to diversity, inclusion, and accommodations for applicants.
• Collaboration with multidisciplinary teams.
• Engaging high-impact challenges across various industries and technology domains.
• Opportunities to delve into emerging approaches to AI, agentic systems, product development, and software delivery.
• Influence over client outcomes and TribalScale’s technical practices.
• An environment emphasizing ownership, empowerment, meritocracy, and transparency.
• Direct interaction with clients, allowing you to see the impact of your decisions.
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