Forward Deployed Agile Software Engineer

This is a fully remote position, open to applicants in Canada.

📋 Description

• Collaborate closely with clients to grasp their objectives, workflows, technical environments, data, and operational limitations.

• Convert unclear business challenges into clear technical requirements, architectures, prototypes, and delivery strategies.

• Design and develop AI-driven applications, agentic workflows, developer tools, APIs, data pipelines, and comprehensive full-stack products.

• Create AI-model harnesses, encompassing prompts, tools, context, memory, permissions, runtime controls, observability, and feedback mechanisms.

• Construct and enhance agent loops for planning, tool selection, execution, observation, reflection, recovery, and termination.

• Represent complex workflows as graphs, state machines, or orchestration patterns.

• Develop evaluation frameworks that assess completion, accuracy, reliability, safety, latency, cost, and user value.

• Build prototypes and proofs of concept, validate them with users 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 the technology stack, including interfaces, backend services, AI infrastructure, data workflows, and deployment pipelines.

• Establish safeguards, permission boundaries, approval processes, and fallbacks.

• Instrument AI applications to analyze traces, intermediate states, failures, and performance metrics.

• Identify and resolve hallucinations, looping issues, fragile tool calls, context loss, prompt injection, nondeterminism, and unsafe actions.

• Troubleshoot technical and operational challenges within client environments.

• Convey technical decisions, risks, trade-offs, and progress to both technical and non-technical audiences.

• Work collaboratively with product managers, designers, engineers, data specialists, security teams, and client stakeholders.

• Implement automated testing, documentation, observability, security, and continuous delivery practices.

• Capture reusable patterns, components, and insights for future projects.

• Support technical discovery, demonstrations, workshops, and pre-sales discussions.

• Foster trusted client relationships and deliver working software solutions to significant business challenges.

⛳️ Requirements

• Proven experience in building and deploying production-grade software, preferably including AI-powered or agentic systems.

• Strong expertise in Python, TypeScript, or another language commonly used for developing AI applications, platforms, and developer tools.

• Practical knowledge in harness engineering.

• Experience in creating or working with agent loops.

• Familiarity with graph-based orchestration, state machines, and multi-step workflows.

• Experience in designing evaluation systems for AI applications.

• Understanding of prompts, context management, memory, retrieval, tool usage, structured outputs, and model selection.

• Experience in instrumenting AI systems to trace decisions, inspect intermediate states, measure quality, and diagnose failures.

• Strong understanding of APIs, distributed systems, databases, cloud infrastructure, and contemporary software development practices.

• Ability to quickly comprehend unfamiliar systems, technologies, and business domains.

• Capacity to progress from an ambiguous customer problem to a functioning prototype and production system.

• 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 abilities.

• Comfort in fast-paced environments with changing requirements and technical constraints.

• High degree of ownership, curiosity, empathy, and a proactive approach.

• Willingness to travel occasionally for client workshops or on-site delivery.

• Nice-to-have: experience with agent frameworks, workflow engines, coding agents, or custom model-orchestration systems.

• Nice-to-have: knowledge of retrieval-augmented generation, embeddings, vector search, knowledge graphs, fine-tuning, and model-routing strategies.

• Nice-to-have: familiarity with AI observability, cloud platforms, containers, Kubernetes, infrastructure as code, CI/CD, and AI security.

• Nice-to-have: Claude Certified Architect certification or equivalent.

🏝️ Benefits

• Engage with high-impact challenges across diverse industries and technology domains.

• Develop tangible products and production systems—beyond mere recommendations or presentations.

• Work directly with clients and witness the outcomes of your decisions.

• Investigate emerging methods in AI, agentic systems, product development, and software delivery.

• Collaborate with multidisciplinary teams that emphasize experimentation and continuous learning.

• Influence both client results and TribalScale’s advancing technical practices.

• Ownership, diverse perspectives, and innovative thinking are actively promoted.

• Equal employment opportunities and accommodations for applicants with disabilities.