Forward Deployed Agile Software Engineer

TribalScale

. Partner directly with clients to understand objectives, workflows, technical environments, data, and operational constraints .

Posted 10/14/2026full-timeRemote • CanadaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and deploying AI-enabled applications and agentic systems, with strong proficiency in Python and TypeScript. Capable of translating business challenges into technical solutions while ensuring quality, security, and user experience.

Highest-signal resume keywords

AI Application DevelopmentPython ProficiencyAgent Loop EngineeringGraph-Based OrchestrationAPI Integration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI Model HarnessingEvaluation System DesignData Pipeline DevelopmentFull-Stack Product DevelopmentCloud Infrastructure KnowledgeDistributed Systems UnderstandingHarness EngineeringTechnical TroubleshootingIntermediate-State AnalysisPrompt Management

Soft Skills

Excellent Communication SkillsHigh Degree of OwnershipEmpathyCuriosityBias Toward Action

Tools & Technologies

KubernetesCI/CDCloud PlatformsContainersWorkflow EnginesAgent FrameworksRetrieval-Augmented GenerationKnowledge GraphsModel RoutingAI Observability

Certifications & Qualifications

Claude Certified Architect

Industry Keywords

Production-Grade SoftwareAgentic SystemsMulti-Agent SystemsRegulated Enterprise EnvironmentsSolutions Engineering

Tech Stack

Tools & technologies

CloudDistributed SystemsKubernetesPythonTypeScript

About the role

Key responsibilities & impact

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, including prompts, tools, context, memory, permissions, runtime controls, observability, and feedback mechanisms
Build and refine agent loops for planning, tool selection, execution, observation, reflection, recovery, and termination
Model complex workflows using graphs, state machines, and 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 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 the technology stack, including interfaces, backend services, AI infrastructure, data workflows, and deployment pipelines
Implement safeguards, permissions, approval steps, and fallbacks for autonomous systems
Instrument AI applications for trace inspection, intermediate-state analysis, failure diagnosis, and performance improvement
Identify and address hallucinations, looping, brittle tool calls, context loss, prompt injection, nondeterministic behavior, and unsafe actions
Troubleshoot 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 engagements
Support technical discovery, solution demonstrations, workshops, and pre-sales conversations
Build trusted client relationships, understand operating environments, and deliver working software for meaningful business challenges

Requirements

What you’ll need

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 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 quickly understand unfamiliar systems, technologies, and business domains
Ability to move from an ambiguous customer problem to a working 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 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, retrieval-augmented generation, embeddings, vector search, knowledge graphs, fine-tuning, model routing, AI observability, multi-agent systems, AI security, cloud platforms, containers, Kubernetes, infrastructure as code, CI/CD, regulated enterprise environments, consulting, solutions engineering, and product launches
Claude Certified Architect certification or equivalent is nice to have

Benefits

Comp & perks

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